{"after":"WzE3ODg5MTIzMzI3MjksOS42NzU1ODcsMywiZGY3MDFkODYtOWE5Yy00MzFlLTlmZjktNWQ3OGNiZDc5M2EwIl0=","results":[{"_score":12.5993805,"_sort":[1788913180209,12.5993805,3,"3f6bd42b-08ee-4df3-8953-c214790d39c9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L2_BlowingSnow_Antarctica-Standard-V2-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Blowing Snow - Antarctica, Version 2-00 data product. This product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument and reports the distribution of blowing snow properties based on back-scatter retrievals over Antarctica. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales). CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880521958-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880521958-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L2_BLOWINGSNOW_ANTARCTICA-STANDARD-V2-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880521958-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x97.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L2_BLOWINGSNOW_ANTARCTICA-STANDARD-V2-00","keyword":["earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-solid-precipitation","earth-science-weather-events-atmosphere-snow-storms"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": -50, \"Longitude\": 180}, {\"Latitude\": -50, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -1.82 km, 0.38 km","temporal":"2006-06-12/2023-06-30","theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Blowing Snow - Antarctica, V2-00"},"description":"CAL_LID_L2_BlowingSnow_Antarctica-Standard-V2-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Blowing Snow - Antarctica, Version 2-00 data product. This product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument and reports the distribution of blowing snow properties based on back-scatter retrievals over Antarctica. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales). CALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, called the C-Train.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3534631d-4b41-4a70-9e3d-76ca93faa53a","harvest_record_raw":"https://catalog.data.gov/harvest_record/3534631d-4b41-4a70-9e3d-76ca93faa53a/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L2_BLOWINGSNOW_ANTARCTICA-STANDARD-V2-00","keyword":["earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-solid-precipitation","earth-science-weather-events-atmosphere-snow-storms"],"last_harvested_date":"2026-09-09T00:19:40.209312","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-2-blowing-snow-antarctica-v2-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Blowing Snow - Antarctica, V2-00","type":"dataset"},{"_score":11.253196,"_sort":[1788913179358,11.253196,1,"e3a265e2-ce71-4753-8391-8296190fb3c6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L2_MLay-Diagnostic-Beta-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2Merged Layer Diagnostic data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The contents of this merged layer product contain information already in the CAL_LID_L2_05kmMLay-Standard-V5-00 andCAL_LID_L2_333mMLay-Standard-V5-00 data products, but with additional diagnostic flags and parameters that were used by the science algorithms. \nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849109-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l2_lay_v5-00_desc_qs_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849109-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cnes.fr/projets/calipso","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_MLay_Diagnostic-Beta-V5-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849109-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_MLay_Diagnostic-Beta-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Maximum Altitude, Minimum Altitude, 30.1 km, -0.5 km","temporal":"2006-06-12/2023-06-30","theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Merged Layer Diagnostic Beta, V5-00"},"description":"CAL_LID_L2_MLay-Diagnostic-Beta-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2Merged Layer Diagnostic data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The contents of this merged layer product contain information already in the CAL_LID_L2_05kmMLay-Standard-V5-00 andCAL_LID_L2_333mMLay-Standard-V5-00 data products, but with additional diagnostic flags and parameters that were used by the science algorithms. \nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/258d7414-a6e6-43b7-89c6-f57b0b93caff","harvest_record_raw":"https://catalog.data.gov/harvest_record/258d7414-a6e6-43b7-89c6-f57b0b93caff/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_MLay_Diagnostic-Beta-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"last_harvested_date":"2026-09-09T00:19:39.358322","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-2-merged-layer-diagnostic-beta-v5-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Merged Layer Diagnostic Beta, V5-00","type":"dataset"},{"_score":10.542633,"_sort":[1788913177199,10.542633,1,"d8727706-2848-47fa-b327-43a9ac99a9e0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L2_PSCMask-Standard-V3-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 Polar Stratospheric Clouds (PSC) data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument and describes the spatial distribution, optical properties, and composition of PSC layers observed. The product contains profiles of PSC presence, composition, optical properties, and meteorological information on a uniform 5-km horizontal x 180-m vertical grid along CALIPSO orbit tracks. Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensable vapors HNO3 and H2O and a number of parameters from the Aura MLS V2 Derived Meteorological Products (DMPs) are also included in this product. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. \n\nCALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3551627684-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l2_pscmask_v3-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_PSCMask-Standard-V3-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3551627684-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_PSCMask-Standard-V3-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-radiation-atmosphere-scattering","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-types","earth-science-clouds-atmosphere-stratospheric-clouds-observed-analyzed","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, 8.3 km, 30.1 km","temporal":"2006-06-12/2023-06-30","theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Polar Stratospheric Cloud (PSC), V3-00"},"description":"CAL_LID_L2_PSCMask-Standard-V3-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 Polar Stratospheric Clouds (PSC) data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument and describes the spatial distribution, optical properties, and composition of PSC layers observed. The product contains profiles of PSC presence, composition, optical properties, and meteorological information on a uniform 5-km horizontal x 180-m vertical grid along CALIPSO orbit tracks. Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensable vapors HNO3 and H2O and a number of parameters from the Aura MLS V2 Derived Meteorological Products (DMPs) are also included in this product. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. \n\nCALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/27cd8ccc-5180-49ff-b9ac-930898f78618","harvest_record_raw":"https://catalog.data.gov/harvest_record/27cd8ccc-5180-49ff-b9ac-930898f78618/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_PSCMask-Standard-V3-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-radiation-atmosphere-scattering","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-types","earth-science-clouds-atmosphere-stratospheric-clouds-observed-analyzed","earth-science-lidar-spectral-engineering-lidar-depolarization-ratio"],"last_harvested_date":"2026-09-09T00:19:37.199624","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-2-polar-stratospheric-cloud-psc-v3-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Polar Stratospheric Cloud (PSC), V3-00","type":"dataset"},{"_score":13.342589,"_sort":[1788913176364,13.342589,3,"53c9acc0-e14a-42d6-b00b-9968dceb47eb"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L2_VFM-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM), Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. \r\n\r\nThe CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, heretofore called the C-Train.","identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_VFM-Standard-V4-51","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-dust-ash-smoke","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.5 km, 30.1 km","temporal":"2006-06-12/2023-06-30","theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Vertical Feature Mask (VFM), V4-51"},"description":"CAL_LID_L2_VFM-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM), Version 4-51 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. \r\n\r\nThe CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. From June 13, 2006, to September 13, 2018, CALIPSO was part of the A-Train constellation for coincident Earth Observations. After September 13, 2018, the satellite was lowered from 705 to 688 km to resume flying in formation with CloudSat, heretofore called the C-Train.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/21d1183f-a284-4b42-99e7-24ac2777e407","harvest_record_raw":"https://catalog.data.gov/harvest_record/21d1183f-a284-4b42-99e7-24ac2777e407/raw","has_download":false,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_VFM-Standard-V4-51","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-dust-ash-smoke","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types"],"last_harvested_date":"2026-09-09T00:19:36.364025","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-2-vertical-feature-mask-vfm-v4-51","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Vertical Feature Mask (VFM), V4-51","type":"dataset"},{"_score":11.501248,"_sort":[1788913175456,11.501248,0,"8a99b66f-7feb-4f36-a19f-2c8465a17f20"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L2_VFM-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM) data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIOP Level 2 VFM data product contains scene classification and lidar lighting and land/water indicators. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3463064020-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l2_vfm_v5-00_desc_qs_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://cnes.fr/projets/calipso","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L2_VFM-Standard-V5-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3463064020-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_VFM-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere-dust-ash-smoke","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.5 km, 30.1 km","temporal":"2006-06-12/2023-06-30","theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Vertical Feature Mask (VFM), V5-00"},"description":"CAL_LID_L2_VFM-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 Vertical Feature Mask (VFM) data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIOP Level 2 VFM data product contains scene classification and lidar lighting and land/water indicators. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/85592c9f-536a-4af5-9d90-36bea94b9c76","harvest_record_raw":"https://catalog.data.gov/harvest_record/85592c9f-536a-4af5-9d90-36bea94b9c76/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L2_VFM-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere-dust-ash-smoke","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types"],"last_harvested_date":"2026-09-09T00:19:35.456956","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-2-vertical-feature-mask-vfm-v5-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 2 Vertical Feature Mask (VFM), V5-00","type":"dataset"},{"_score":11.979792,"_sort":[1788913174185,11.979792,3,"22b4ffdd-3c4d-4eaf-9012-f5366f07b5d5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Cloud_Occurrence-Standard-V2-00_V2-00 are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar(CALIOP) Level 3 Cloud Occurrence products. The Lidar Level 3 Cloud Occurrence product reports global distributions of cloud occurrence by counts on a uniform spatial grid. At each grid, the number of detected ice cloud samples is also reported as a histogram of ice cloud layer optical depth. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849739-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l3_cloud-occur_v2-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849739-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cnes.fr/projets/calipso","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/L3_CLOUD_OCCURRENCE-STANDARD-V2-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849739-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/L3_CLOUD_OCCURRENCE-STANDARD-V2-00","keyword":["earth-science-clouds-atmosphere"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.5 km, 20.2 km","temporal":"2006-06-01/2023-07-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Cloud Occurrence Data, Standard V2-00"},"description":"CAL_LID_L3_Cloud_Occurrence-Standard-V2-00_V2-00 are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar(CALIOP) Level 3 Cloud Occurrence products. The Lidar Level 3 Cloud Occurrence product reports global distributions of cloud occurrence by counts on a uniform spatial grid. At each grid, the number of detected ice cloud samples is also reported as a histogram of ice cloud layer optical depth. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8f0d631d-0992-49fc-99e4-31d8232cd5ee","harvest_record_raw":"https://catalog.data.gov/harvest_record/8f0d631d-0992-49fc-99e4-31d8232cd5ee/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/L3_CLOUD_OCCURRENCE-STANDARD-V2-00","keyword":["earth-science-clouds-atmosphere"],"last_harvested_date":"2026-09-09T00:19:34.185866","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-cloud-occurrence-data-standard-v2-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Cloud Occurrence Data, Standard V2-00","type":"dataset"},{"_score":10.432028,"_sort":[1788913173107,10.432028,2,"c41ca078-e8c6-44c4-89c6-5898b9143fde"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_GEWEX_Cloud-Standard-V1-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 3 Global Energy and Water Cycle Experiment (GEWEX) Cloud, Standard Version 1-00 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is complete.\r\n\r\nThis product is a reformatted version of the CALIPSO contribution to the GEWEX cloud assessment of global cloud datasets from satellites. The data submitted by the CALIPSO team for this project had to conform to a specific format: yearly netCDF files organized by parameter. To be compatible with another publicly orderable lidar level 3 CALIPSO aerosol and cloud products reported as monthly HDF files, this new lidar level 3 CALIPSO GEWEX cloud product was created. These files report global distributions of cloud amount and cloud top as averages and histograms on a uniform 2-dimensional (2D) spatial grid. All level 3 parameters are derived from the CALIPSO version 4. x Level 2, 5 km cloud merged layer products, with a temporal averaging of one month.\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523346-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/gewex-rfa/documents/data_format.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/GEWEX-RFA","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://climserv.ipsl.polytechnique.fr/gewexca/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523346-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_GEWEX_Cloud-Standard-V1-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.larc.nasa.gov/gewex-srb/gewex-radiative-flux-assessment/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523346-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/data_summaries/l3/cal_lid_l3_gewex_cloud_v1-00_desc.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/qs/cal_lid_l3_gewex_cloud_v1-00.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_GEWEX_Cloud-Standard-V1-00","keyword":["earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-properties"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.5 km, 20.2 km","temporal":"2006-06-01/2017-01-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Global Energy and Water Cycle Experiment (GEWEX) Cloud, Standard V1-00"},"description":"CAL_LID_L3_GEWEX_Cloud-Standard-V1-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Lidar Level 3 Global Energy and Water Cycle Experiment (GEWEX) Cloud, Standard Version 1-00 data product. Data for this product was collected using the CALIPSO Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is complete.\r\n\r\nThis product is a reformatted version of the CALIPSO contribution to the GEWEX cloud assessment of global cloud datasets from satellites. The data submitted by the CALIPSO team for this project had to conform to a specific format: yearly netCDF files organized by parameter. To be compatible with another publicly orderable lidar level 3 CALIPSO aerosol and cloud products reported as monthly HDF files, this new lidar level 3 CALIPSO GEWEX cloud product was created. These files report global distributions of cloud amount and cloud top as averages and histograms on a uniform 2-dimensional (2D) spatial grid. All level 3 parameters are derived from the CALIPSO version 4. x Level 2, 5 km cloud merged layer products, with a temporal averaging of one month.\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/95a88958-8a0a-45ef-95ea-c3dbc0cf3475","harvest_record_raw":"https://catalog.data.gov/harvest_record/95a88958-8a0a-45ef-95ea-c3dbc0cf3475/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_GEWEX_Cloud-Standard-V1-00","keyword":["earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-properties"],"last_harvested_date":"2026-09-09T00:19:33.107315","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-global-energy-and-water-cycle-experiment-gewex-cloud-standard-v1-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Global Energy and Water Cycle Experiment (GEWEX) Cloud, Standard V1-00","type":"dataset"},{"_score":9.766905,"_sort":[1788913172071,9.766905,8,"0cb50712-0a8c-45e5-a637-1469f485d689"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Stratospheric_APro-Standard-V1-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Stratospheric Aerosol Profiles Standard Version 1-00 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V1.00 product ended on July 1, 2020 to support a change in the operating system of the CALIPSO production clusters. The V1.01 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO Lidar Level 3 stratospheric aerosol reports global distributions of 532nm total attenuated backscatter, extinction, attenuated scattering ratios, and stratospheric aerosol optical depths on a uniform spatial grid. All level 3 parameters are derived from the CALIPSO version 4 level 1 and level 2 5 km merged layer and version 3 level 2 polar stratospheric cloud data products, with a temporal averaging of one month. The primary outputs are reported in terms of 1) background only and 2) all aerosol. All features identified by the level 2 algorithms have been removed for background only. Only aerosol layers are considered for all aerosols, while clouds and polar stratospheric clouds are removed. \r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523548-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523548-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_STRATOSPHERIC_APRO-STANDARD-V1-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523548-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/qs/cal_lid_l3_stratospheric_apro_v1-00.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_STRATOSPHERIC_APRO-STANDARD-V1-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, 8.2 km, 36.2 km","temporal":"2006-06-01/2020-08-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Stratospheric Aerosol Profiles Standard V1-00"},"description":"CAL_LID_L3_Stratospheric_APro-Standard-V1-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Stratospheric Aerosol Profiles Standard Version 1-00 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V1.00 product ended on July 1, 2020 to support a change in the operating system of the CALIPSO production clusters. The V1.01 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO Lidar Level 3 stratospheric aerosol reports global distributions of 532nm total attenuated backscatter, extinction, attenuated scattering ratios, and stratospheric aerosol optical depths on a uniform spatial grid. All level 3 parameters are derived from the CALIPSO version 4 level 1 and level 2 5 km merged layer and version 3 level 2 polar stratospheric cloud data products, with a temporal averaging of one month. The primary outputs are reported in terms of 1) background only and 2) all aerosol. All features identified by the level 2 algorithms have been removed for background only. Only aerosol layers are considered for all aerosols, while clouds and polar stratospheric clouds are removed. \r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/bd3c3354-b20a-4938-ac3a-2892e3ab8559","harvest_record_raw":"https://catalog.data.gov/harvest_record/bd3c3354-b20a-4938-ac3a-2892e3ab8559/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_STRATOSPHERIC_APRO-STANDARD-V1-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-backscatter","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:32.071452","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":8,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-stratospheric-aerosol-profiles-standard-v1-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Stratospheric Aerosol Profiles Standard V1-00","type":"dataset"},{"_score":8.505016,"_sort":[1788913170829,8.505016,7,"bed53df1-0cff-4082-818b-5b12c2ea3107"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523630-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523630-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V4-20","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523630-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2006-06-01/2020-08-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard V4-20"},"description":"CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre national d'\u00e9tudes spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/20286184-60a7-4175-9cf3-4689e841bf3f","harvest_record_raw":"https://catalog.data.gov/harvest_record/20286184-60a7-4175-9cf3-4689e841bf3f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:30.829051","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":7,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-all-sky-data-standard-v4-20","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard V4-20","type":"dataset"},{"_score":9.643114,"_sort":[1788913169970,9.643114,3,"80f24dc3-c971-4283-a0ad-aac28d9a48c0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol, All-Sky, data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. This data product, generated separately between day and night, reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is a tropospheric product, so data are only reported below altitudes of 12 km. All parameters are derived from the version 5.00 CALIOP Level 2 data and have been quality screened prior to averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distributional information are also included. The All-Sky designate indicates that all level 2 columns are averaged, regardless of the occurrence of clouds. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849274-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l3_tropoaero_V5-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849274-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_AllSky-Standard-V5-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849274-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_AllSky-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2006-06-01/2023-07-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard V5-00"},"description":"CAL_LID_L3_Tropospheric_APro_AllSky-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol, All-Sky, data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. This data product, generated separately between day and night, reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is a tropospheric product, so data are only reported below altitudes of 12 km. All parameters are derived from the version 5.00 CALIOP Level 2 data and have been quality screened prior to averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distributional information are also included. The All-Sky designate indicates that all level 2 columns are averaged, regardless of the occurrence of clouds. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/da753b99-3e7d-4ea8-881e-349a8449d90a","harvest_record_raw":"https://catalog.data.gov/harvest_record/da753b99-3e7d-4ea8-881e-349a8449d90a/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_AllSky-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:29.970305","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-all-sky-data-standard-v5-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, All Sky Data, Standard V5-00","type":"dataset"},{"_score":8.157051,"_sort":[1788913168678,8.157051,8,"e0990dca-fb8e-4741-816c-9662a2f077ab"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523637-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523637-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523637-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2006-06-01/2020-08-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-20"},"description":"CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/82039277-03fe-49fe-a12e-4c412aa47e06","harvest_record_raw":"https://catalog.data.gov/harvest_record/82039277-03fe-49fe-a12e-4c412aa47e06/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:28.678175","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":8,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloud-free-data-standard-v4-20","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V4-20","type":"dataset"},{"_score":9.544699,"_sort":[1788913167639,9.544699,0,"31c451a8-1811-40f6-a343-ec32a2ed5904"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation(CALIPSO) Lidar Level 3 Tropospheric Aerosol, Cloud-Free, data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. This data product, generated separately between day and night, reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is a tropospheric product, so data are only reported below altitudes of 12 km. All parameters are derived from the version 5.00 CALIOP Level 2 data and have been quality screened prior to averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distributional information are also included. The Cloud-Free designate indicates that only cloud-free level 2 columns are averaged. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849262-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_lid_l3_tropoaero_V5-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849262-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_CloudFree-Standard-V5-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849262-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_CloudFree-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2006-06-01/2023-07-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V5-00"},"description":"CAL_LID_L3_Tropospheric_APro_CloudFree-Standard-V5-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation(CALIPSO) Lidar Level 3 Tropospheric Aerosol, Cloud-Free, data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. This data product, generated separately between day and night, reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is a tropospheric product, so data are only reported below altitudes of 12 km. All parameters are derived from the version 5.00 CALIOP Level 2 data and have been quality screened prior to averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distributional information are also included. The Cloud-Free designate indicates that only cloud-free level 2 columns are averaged. \n\nCALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1fac985b-2673-4527-b7d7-564c3a76592c","harvest_record_raw":"https://catalog.data.gov/harvest_record/1fac985b-2673-4527-b7d7-564c3a76592c/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APro_CloudFree-Standard-V5-00","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:27.639901","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloud-free-data-standard-v5-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloud Free Data, Standard V5-00","type":"dataset"},{"_score":8.505016,"_sort":[1788913166363,8.505016,5,"c8a5aecc-148e-4479-afb2-d5d73cd6cd9c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data before averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523648-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523648-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APRO_CloudySkyOpaqueData-Standard-V4-20","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523648-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APRO_CloudySkyOpaqueData-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2006-06-01/2020-08-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-20"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-20 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data before averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D\u2019Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e2bfdcb5-37d5-4fc4-b4d7-5b41eaf69d2a","harvest_record_raw":"https://catalog.data.gov/harvest_record/e2bfdcb5-37d5-4fc4-b4d7-5b41eaf69d2a/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_Tropospheric_APRO_CloudySkyOpaqueData-Standard-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:26.363946","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloudy-sky-opaque-data-standard-v4-20","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-20","type":"dataset"},{"_score":8.548988,"_sort":[1788913165546,8.548988,5,"e8f13d91-191f-4185-b681-e2a522a7ab82"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is ongoing.\r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523651-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523651-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21_V4-21","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523651-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21_V4-21","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2020-07-01/2022-01-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-21"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard Version 4-21 data product. This data product was collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data collection for this product is ongoing.\r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, four different types of level 3 files are produced, depending on the sky condition and the temporal coverage of the data prior to averaging.\r\n\r\nDescription of the Four Sky Conditions (Day, Night):\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, and continues to collect data necessary to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: CALIOP, Imaging Infrared Radiometer (IIR), and Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8705e128-4c4d-43a9-bb2c-bad8d53a9cf7","harvest_record_raw":"https://catalog.data.gov/harvest_record/8705e128-4c4d-43a9-bb2c-bad8d53a9cf7/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyOpaque-Standard-V4-21_V4-21","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:25.546058","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloudy-sky-opaque-data-standard-v4-21","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Opaque Data, Standard V4-21","type":"dataset"},{"_score":7.8709717,"_sort":[1788913164291,7.8709717,6,"5d437538-08da-49ac-b106-9d2c2efde4e8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"NASA Space Physics Data Facility","hasEmail":"mailto:NASA-SPDF-Support@nasa.onmicrosoft.com"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard Version 4-20 data product. Data is collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, there are four different types of level 3 files produced, depending on the sky condition and the temporal coverage of the data before averaging: \r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation with five other satellites in the international \"A-Train\" (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D'Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://cedar.openmadrigal.org/index.html/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://helio.data.nasa.gov/dataset/DMSP_5D-2_SSIES_PT4.0S","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://hpde.io/NASA/NumericalData/DMSP_5D-2/SSIES/PT4.0S","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_TROPOSPHERIC_APRO_CLOUDYSKYTRANSPARENT-STANDARD-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.41 km, 12.1 km","temporal":"2006-06-01/2020-08-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard V4-20"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-20 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard Version 4-20 data product. Data is collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. Data generation and distribution of this V4.20 product ended on July 1, 2020, to support a change in the operating system of the CALIPSO production clusters. The V4.21 data product covers July 1, 2020, to current. \r\n\r\nThe CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.20 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, there are four different types of level 3 files produced, depending on the sky condition and the temporal coverage of the data before averaging: \r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation with five other satellites in the international \"A-Train\" (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National D'Etudes Spatiales).","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/bd771a70-5aba-4366-aeca-e96e773610c0","harvest_record_raw":"https://catalog.data.gov/harvest_record/bd771a70-5aba-4366-aeca-e96e773610c0/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/LID_L3_TROPOSPHERIC_APRO_CLOUDYSKYTRANSPARENT-STANDARD-V4-20","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness"],"last_harvested_date":"2026-09-09T00:19:24.291225","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":6,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloudy-sky-transparent-data-standar-20","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard V4-20","type":"dataset"},{"_score":8.548988,"_sort":[1788913163235,8.548988,3,"3bc07f43-da66-4313-beed-1a305b72935d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard Version 4-20 data product. Data collection, which is ongoing, is collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, there are four different types of level 3 files produced, depending on the sky condition and the temporal coverage of the data before averaging: \r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation with five other satellites in the international \"A-Train\" (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523700-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523700-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21_V4-21","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523700-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21_V4-21","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-aerosols-atmosphere-dust-ash-smoke"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]], Minimum Altitude, Maximum Altitude, -0.4 km, 12.1 km","temporal":"2020-07-01/2022-01-01","theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard V4-21"},"description":"CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard Version 4-20 data product. Data collection, which is ongoing, is collected using the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument. The CALIPSO lidar level 3 aerosol data product reports monthly mean profiles of aerosol optical properties on a uniform spatial grid. It is intended to be a tropospheric product, so data are only reported below altitudes of 12 km. All level 3 parameters are derived from the version 4.21 CALIOP level 2 aerosol profile product and have been quality screened before averaging. The primary quantities reported are vertical profiles of the aerosol extinction coefficient at 532 nm and its vertical integral, the aerosol optical depth (AOD). Aerosol type and spatial distribution information are also included. Averaged profile data is reported for all aerosols, regardless of type, and for mineral dust aerosols only. Classification of dust is based on the aerosol-type flags in the level 2 profile product. To keep level 3 file sizes manageable, there are four different types of level 3 files produced, depending on the sky condition and the temporal coverage of the data before averaging: \r\n\r\nDescription of the Four Sky Conditions (Day, Night)\r\n1) All Sky: All level 2 columns are averaged, regardless of cloud occurrence,\r\n2) Cloud-Free: Only cloud-free level 2 columns are averaged,\r\n3) Cloudy-Sky, Transparent: Only level 2 columns containing transparent clouds are averaged, and\r\n4) Cloud-Sky, Opaque: Only level 2 columns containing opaque clouds are averaged\r\n\r\nCALIPSO was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in formation with five other satellites in the international \"A-Train\" (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments: the CALIOP, the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency CNES (Centre National d'Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f37e388c-8e82-44d8-93ed-afe8215e4b76","harvest_record_raw":"https://catalog.data.gov/harvest_record/f37e388c-8e82-44d8-93ed-afe8215e4b76/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/CALIOP/CALIPSO/CAL_LID_L3_Tropospheric_APro_CloudySkyTransparent-Standard-V4-21_V4-21","keyword":["earth-science-aerosols-atmosphere-aerosol-extinction","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-aerosols-atmosphere-dust-ash-smoke"],"last_harvested_date":"2026-09-09T00:19:23.235093","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-lidar-level-3-tropospheric-aerosol-profiles-cloudy-sky-transparent-data-standar-21","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Lidar Level 3 Tropospheric Aerosol Profiles, Cloudy Sky Transparent Data, Standard V4-21","type":"dataset"},{"_score":11.058405,"_sort":[1788913162225,11.058405,1,"461b163c-f7ac-4d45-bf08-92fd752ceda1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_1Km-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B 1 km Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964848876-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_wfc_l1_1Km_v4-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964848876-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_1Km-Standard-V4-00_L1B-004.00","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964848876-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_1Km-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-12/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Standard V4-00"},"description":"CAL_WFC_L1_1Km-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B 1 km Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f4252239-74db-4ec4-99f0-7e8e7dd5d0ad","harvest_record_raw":"https://catalog.data.gov/harvest_record/f4252239-74db-4ec4-99f0-7e8e7dd5d0ad/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_1Km-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:22.225554","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-1-km-native-science-data-standard-v4-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 1 km Native Science data, Standard V4-00","type":"dataset"},{"_score":10.940576,"_sort":[1788913161592,10.940576,2,"915cc8c1-bf62-4cb7-b1f9-4561d6535f7c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_IIR-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523659-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523659-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/CALIOP/CALIPSO/LID_L3_TROPOSPHERIC_APRO_CLOUDYSKYTRANSPARENT-STANDARD-V4-20","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523659-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev4x92.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_IIR-VALSTAGE1-V3-02_L1B-003.02","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2011-11-01/2026-08-31","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-02"},"description":"CAL_WFC_L1_IIR-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera Level 1B 1 km Registered Science data. Version 3.02 represents a transition of the Lidar, IIR, and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary Wide Field Camera Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B 1 IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1c89fbea-3f67-4f05-84a9-185885687a8e","harvest_record_raw":"https://catalog.data.gov/harvest_record/1c89fbea-3f67-4f05-84a9-185885687a8e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_IIR-VALSTAGE1-V3-02_L1B-003.02","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:21.592255","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-1-km-registered-science-data-validated-stage-1-v3-02","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 1 km Registered Science data, Validated Stage 1 V3-02","type":"dataset"},{"_score":10.940576,"_sort":[1788913160585,10.940576,1,"ce4c129a-d851-4a69-afd0-49d53c80cd2c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_125m-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B 125 m Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 125 m Native Science grid contains only the central 5km wide high-resolution portion of the WFC swath. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018,when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964848826-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_wfc_l1_125m_v4-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964848826-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_125m-Standard-V4-00_L1B-004.00","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964848826-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125m-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-12/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Standard V4-00"},"description":"CAL_WFC_L1_125m-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B 125 m Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 125 m Native Science grid contains only the central 5km wide high-resolution portion of the WFC swath. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018,when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0a54935e-cc20-4299-8b5c-644508c1391a","harvest_record_raw":"https://catalog.data.gov/harvest_record/0a54935e-cc20-4299-8b5c-644508c1391a/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125m-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:20.585287","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-125m-native-science-data-standard-v4-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Standard V4-00","type":"dataset"},{"_score":11.058405,"_sort":[1788913159569,11.058405,1,"1d11c497-a429-45f9-8143-b463779ed794"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_125m-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125m Native Science data, Validated Stage 1 Version 3-01. Data collection for this product is complete. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 125 m Native Science data product provides WFC radiance and reflectance measurements across just the central 5 km swath at 125 m resolution. No spatial interpolation is performed. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880523985-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/WFC_L1BScansProducts_3-01.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880523985-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-01_L1B-003.01","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880523985-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/publications.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-01_L1B-003.01","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-13/2011-11-01","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-01"},"description":"CAL_WFC_L1_125m-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125m Native Science data, Validated Stage 1 Version 3-01. Data collection for this product is complete. Version 3.01 includes new metadata parameters and corrections to several minor software bugs. Specifically, the Orbit Number and Path Number metadata parameters are now included to facilitate improved subsetting capabilities. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During the normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The WFC Level 1B 125 m Native Science data product provides WFC radiance and reflectance measurements across just the central 5 km swath at 125 m resolution. No spatial interpolation is performed. CALIPSO was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/56e3900a-1910-43a6-87e1-f19144161cfa","harvest_record_raw":"https://catalog.data.gov/harvest_record/56e3900a-1910-43a6-87e1-f19144161cfa/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-01_L1B-003.01","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:19.569431","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-125m-native-science-data-validated-stage-1-v3-01","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-01","type":"dataset"},{"_score":10.432028,"_sort":[1788913158532,10.432028,1,"d6fd57c8-fc70-4132-9e4a-6be17bdfbcfa"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_125m-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125 m Native Science data, Validated Stage 1 Version 3-02. Data collection for this product is ongoing. Version 3.02 represents a transition of the Lidar, Imaging Infrared Radiometer (IIR), and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced, and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. The 125 m Native Science grid contains only the central 5 km wide high-resolution portion of the WFC swath. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), IIR, and WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880524138-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/TiltModeGeometry.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_product_maturity.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/data_release_summary_statement.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/WFC_L1BScansProducts_3-01_v02.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://atrain.nasa.gov/publications/CALIPSO.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880524138-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-02_L1B-003.02","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880524138-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/CALIPSO_DPC_Rev3x5.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/products/inventory.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/browse/index.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/calipso_users_guide/faq.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/project_documentation.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/resources/publications.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www-calipso.larc.nasa.gov/tools/data_avail/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.icare.univ-lille.fr/category/icare-news/tools/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-02_L1B-003.02","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2011-11-01/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-02"},"description":"CAL_WFC_L1_125m-ValStage1-V3-02 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC) Level 1B 125 m Native Science data, Validated Stage 1 Version 3-02. Data collection for this product is ongoing. Version 3.02 represents a transition of the Lidar, Imaging Infrared Radiometer (IIR), and WFC processing and browse code to a new cluster computing system. No algorithm changes were introduced, and very minor changes were observed between V3.01 and V3.02 as a result of the compiler and computer architecture differences. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The 1 km Native Science grid covers the full 61 km swath centered on the Lidar track. The 125 m Native Science grid contains only the central 5 km wide high-resolution portion of the WFC swath. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006, to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite is comprised of three instruments, the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), IIR, and WFC. CALIPSO is a joint satellite mission between NASA and the French Agency, CNES (Centre National d'Etudes Spatiales).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/48e6df3f-ab89-4755-99d8-27cc73b546ba","harvest_record_raw":"https://catalog.data.gov/harvest_record/48e6df3f-ab89-4755-99d8-27cc73b546ba/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_125M-VALSTAGE1-V3-02_L1B-003.02","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:18.532416","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-125m-native-science-data-validated-stage-1-v3-02","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B 125m Native Science data, Validated Stage 1 V3-02","type":"dataset"},{"_score":11.253196,"_sort":[1788913157867,11.253196,1,"f585e5c2-44bc-4f8f-9714-94a11f10a0b9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_Asm-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B Assembler Version 4-00 data product. The WFC Level 1B Assembler data products contain geolocated nighttime daily digital count and daily statistical data which comes from the calibration product. The Assembler takes the calibration data and calculates the statistics foreach pixel (mean, standard deviation, maximum, and minimum). CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849036-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_wfc_l1_asm_v4-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849036-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_Asm-Standard-V4-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849036-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_Asm-Standard-V4-00","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-12/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Assembler data, V4-00"},"description":"CAL_WFC_L1_Asm-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B Assembler Version 4-00 data product. The WFC Level 1B Assembler data products contain geolocated nighttime daily digital count and daily statistical data which comes from the calibration product. The Assembler takes the calibration data and calculates the statistics foreach pixel (mean, standard deviation, maximum, and minimum). CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles)above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera(WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/2b55d3b5-3ac1-4d2c-83ea-82c5c681dcc3","harvest_record_raw":"https://catalog.data.gov/harvest_record/2b55d3b5-3ac1-4d2c-83ea-82c5c681dcc3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_Asm-Standard-V4-00","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:17.867480","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-assembler-data-v4-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Assembler data, V4-00","type":"dataset"},{"_score":11.627234,"_sort":[1788913156846,11.627234,1,"70e14377-668c-4a0e-89d0-5dfdcb55feec"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_Cal-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B Calibration Version 4-00 data product. The WFC Level 1B Calibration data products contain geolocated nighttime digital count data. The calibration data is collected over a 25-second segment on the dark side of every orbit. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018,when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964849107-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_wfc_l1_cal_v4-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964849107-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_Cal-Standard-V4-00","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964849107-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_Cal-Standard-V4-00","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-12/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Calibration data, V4-00"},"description":"CAL_WFC_L1_Cal-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B Calibration Version 4-00 data product. The WFC Level 1B Calibration data products contain geolocated nighttime digital count data. The calibration data is collected over a 25-second segment on the dark side of every orbit. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018,when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b3276d15-3003-412f-a047-a6846e605043","harvest_record_raw":"https://catalog.data.gov/harvest_record/b3276d15-3003-412f-a047-a6846e605043/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_Cal-Standard-V4-00","keyword":["earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:16.846181","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-calibration-data-v4-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Calibration data, V4-00","type":"dataset"},{"_score":10.468925,"_sort":[1788913155839,10.468925,1,"f72e9727-23ed-4801-ac44-66fa6abc5420"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CAL_WFC_L1_IIR-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B IIR Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3964848890-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/CALIPSO_DPC_Rev5x00.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/quality_summaries/cal_wfc_l1_iir_v4-00_desc_qs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Browse_Image_Tutorial.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_FAQ_mod2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Payload.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/calipso/user_guides/CALIPSO_Data_Users_Guide_Peer_Reviewed_Bibliography.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CALIPSO","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/calipso.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://calipso.cnes.fr/fr","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3964848890-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/WFC/CALIPSO/CAL_WFC_L1_IIR-Standard-V4-00_L1B-004.00","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/citations/20260000771","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/calipso/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3964848890-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_IIR-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2006-06-12/2020-04-10","theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Science data, Standard V4-00"},"description":"CAL_WFC_L1_IIR-Standard-V4-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Wide Field Camera (WFC)Level 1B IIR Version 4-00 data product. The primary WFC Level 1B data products are calibrated radiance and bidirectional reflectance registered to an Earth-based grid centered on the Lidar ground track. During normal operation, the WFC acquires science data only during the daylight portions of the CALIPSO orbits. The Wide Field Camera Level 1B IIR Registered Science grid provides WFC data on the identical grid as the CALIPSO IIR data and is produced to facilitate the use of the WFC data in the IIR retrievals. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006 to study the many roles played by clouds and aerosols in Earth\u2019s climate and weather. It flew in the international A-Train constellation for coincident Earth observations from launch until September 13, 2018, when CALIPSO began lowering its orbit from 705 km to 688 km (428 miles) above the Earth to resume formation flying with CloudSat as part of the \u201cC-Train\u201d. The CALIPSO satellite carried three remote sensing instruments: the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field-of-View Camera (WFC). By mutual agreement between NASA and CNES, the CALIPSO science mission concluded on August 1, 2023.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/13bd2254-f9ad-458b-a7b9-51a858288c42","harvest_record_raw":"https://catalog.data.gov/harvest_record/13bd2254-f9ad-458b-a7b9-51a858288c42/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/WFC/CALIPSO/CAL_WFC_L1_IIR-Standard-V4-00_L1B-004.00","keyword":["earth-science-aerosols-atmosphere-aerosol-radiance","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:19:15.839769","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"calipso-wide-field-camera-level-1b-science-data-standard-v4-00","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CALIPSO Wide Field Camera Level 1B Science data, Standard V4-00","type":"dataset"},{"_score":30.439919,"_sort":[1788913114966,30.439919,1,"5a7ef89f-7809-4caa-abdb-d7c0a7ce1f60"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"Unknown","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-2-edr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-2-edr-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Planetary Atmospheres"},"theme":["Planetary Science"],"title":"MRO MARS CLIMATE SOUNDER LEVEL 2 EDR V1.0"},"description":"Unknown","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/b53a724e-a4bd-4dbe-a1b7-b4c1f32e3920","harvest_record_raw":"https://catalog.data.gov/harvest_record/b53a724e-a4bd-4dbe-a1b7-b4c1f32e3920/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-2-edr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-2-edr-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-09T00:18:34.966616","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"Planetary Atmospheres","slug":"mro-mars-climate-sounder-level-2-edr-v1-0-36d23","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"MRO MARS CLIMATE SOUNDER LEVEL 2 EDR V1.0","type":"dataset"},{"_score":9.913425,"_sort":[1788913099853,9.913425,2,"d5809819-8faf-40b7-b8a4-afceabded7a9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set provides ground in situ flux and meteorological science data from fixed instruments at three eddy covariance tower sites located in the Alaskan Arctic tundra. Real and gap-filled observations of carbon dioxide, methane, water vapor, and latent energy flux in addition to standard meteorological and environmental variables are reported at half-hourly intervals between 2011 and 2015 for sites at Atqasuk, Barrow, and Ivotuk, Alaska. The three sites form a 300-km north-south transect on the North Slope of Alaska, each site representing distinct Arctic vegetation communities. These tower measurements create a long-term record of one of the largest, most volatile carbon stocks on the planet. Observations from these towers are being used to determine the seasonal and inter-annual patterns of CO2 and CH4 flux, and their relationship to changes in environmental factors.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2236316255-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://carve.ornl.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CARVE/guides/CARVE_L1_Ground_Flux_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CARVE_L1_Ground_Flux_1424.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/carve/campaign/CARVE_L1_Ground_Flux/comp/CARVE_L1_Ground_Flux.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1424","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2236316255-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1424","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -157.409, \"NorthBoundingCoordinate\": 71.3225, \"EastBoundingCoordinate\": -155.748, \"SouthBoundingCoordinate\": 68.4865}]]","temporal":"2011-05-30/2016-01-07","theme":["Earth Science"],"title":"CARVE: L1 In-situ Carbon and CH4 Flux and Meteorology at EC Towers, Alaska, 2011-2015"},"description":"This data set provides ground in situ flux and meteorological science data from fixed instruments at three eddy covariance tower sites located in the Alaskan Arctic tundra. Real and gap-filled observations of carbon dioxide, methane, water vapor, and latent energy flux in addition to standard meteorological and environmental variables are reported at half-hourly intervals between 2011 and 2015 for sites at Atqasuk, Barrow, and Ivotuk, Alaska. The three sites form a 300-km north-south transect on the North Slope of Alaska, each site representing distinct Arctic vegetation communities. These tower measurements create a long-term record of one of the largest, most volatile carbon stocks on the planet. Observations from these towers are being used to determine the seasonal and inter-annual patterns of CO2 and CH4 flux, and their relationship to changes in environmental factors.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e3e60721-44aa-49b0-ba5d-59e4d967e8fd","harvest_record_raw":"https://catalog.data.gov/harvest_record/e3e60721-44aa-49b0-ba5d-59e4d967e8fd/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1424","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-temperature"],"last_harvested_date":"2026-09-09T00:18:19.853898","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"carve-l1-in-situ-carbon-and-ch4-flux-and-meteorology-at-ec-towers-alaska-2011-2015","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CARVE: L1 In-situ Carbon and CH4 Flux and Meteorology at EC Towers, Alaska, 2011-2015","type":"dataset"},{"_score":8.828213,"_sort":[1788912992744,8.828213,1,"5e75f4c6-c63c-47c9-a2fd-f262e0052d64"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CER_SSF1deg-Day_NOAA20-VIIRS_Edition1C is the NOAA-20 Clouds and the Earth's Radiant Energy System (CERES) Level 3 Single Scanner Footprint (SSF) Edition1C Top of Atmosphere (ToA) flux data product. The SSF One Degree (SSF1deg) Day provides daily averages on a 1-degree latitude and longitude global grid from the NOAA-20 CERES Flight Model 6 (FM-6) data. The last CERES instrument, FM-6, was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now known as NOAA-20, on November 18, 2017. The data product begins May 1, 2018. The product is distributed in monthly Hierarchical Data Format (HDF) 4 files. The file contains the daily mean for each day of the month and provides global coverage over a day.\r\nThe SSF1deg-Day granule contains daily averages of regional CERES FM6 Earth-viewing Top of Atmosphere (ToA) shortwave and longwave fluxes. The fluxes are converted from the unfiltered CERES radiances at the footprint level using the co-located Visible Infrared Imaging Radiometer Suite (VIIRS) imager-defined scene. The footprint fluxes are gridded at hourly periods and then temporally interpolated assuming constant meteorology between measurements. The ToA fluxes are provided for both clear-sky and total sky conditions. The incoming daily solar irradiance is from the Solar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The VIIRS radiances are used with CERES-specific cloud mask and cloud property retrievals and are stratified into four atmospheric layers: surface to 700 mb, 700 mb to 500 mb, 500 to 300 mb, and above 300 mb along with the total. Each cloud layer has properties such as amount, height, temperature, pressure, optical depth, emissivity, phase, water path, and water particle size. The cloud properties are averaged for day and night (24-hour) and day-only periods.\r\nThis product uses the instantaneous gridded product, CER_SSF1deg-Hour_NOAA20-VIIRS_Edition1C, as input.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3425515494-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/CERES_ATBDs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CERES","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/ceres.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://ceres-tool.larc.nasa.gov/ord-tool/jsp/SSF1degNOAA20Ed1CSelection.jsp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/#ssf1deg-level-3","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/general-product-info/#ceres-input-data-sources","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/documents/DQ_summaries/CERES_SSF1deg_Ed4A_DQS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/instruments/satellite-missions/#noaa20","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/NOAA20/CERES/SSF1DEGDAY_L3.001C","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3425515494-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/NOAA20/CERES/SSF1DEGDAY_L3.001C","keyword":["earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2018-05-01/2026-08-31","theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Daily NOAA-20 Edition1C"},"description":"CER_SSF1deg-Day_NOAA20-VIIRS_Edition1C is the NOAA-20 Clouds and the Earth's Radiant Energy System (CERES) Level 3 Single Scanner Footprint (SSF) Edition1C Top of Atmosphere (ToA) flux data product. The SSF One Degree (SSF1deg) Day provides daily averages on a 1-degree latitude and longitude global grid from the NOAA-20 CERES Flight Model 6 (FM-6) data. The last CERES instrument, FM-6, was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now known as NOAA-20, on November 18, 2017. The data product begins May 1, 2018. The product is distributed in monthly Hierarchical Data Format (HDF) 4 files. The file contains the daily mean for each day of the month and provides global coverage over a day.\r\nThe SSF1deg-Day granule contains daily averages of regional CERES FM6 Earth-viewing Top of Atmosphere (ToA) shortwave and longwave fluxes. The fluxes are converted from the unfiltered CERES radiances at the footprint level using the co-located Visible Infrared Imaging Radiometer Suite (VIIRS) imager-defined scene. The footprint fluxes are gridded at hourly periods and then temporally interpolated assuming constant meteorology between measurements. The ToA fluxes are provided for both clear-sky and total sky conditions. The incoming daily solar irradiance is from the Solar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The VIIRS radiances are used with CERES-specific cloud mask and cloud property retrievals and are stratified into four atmospheric layers: surface to 700 mb, 700 mb to 500 mb, 500 to 300 mb, and above 300 mb along with the total. Each cloud layer has properties such as amount, height, temperature, pressure, optical depth, emissivity, phase, water path, and water particle size. The cloud properties are averaged for day and night (24-hour) and day-only periods.\r\nThis product uses the instantaneous gridded product, CER_SSF1deg-Hour_NOAA20-VIIRS_Edition1C, as input.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/de869b98-8243-46fe-ac94-6436e3e52635","harvest_record_raw":"https://catalog.data.gov/harvest_record/de869b98-8243-46fe-ac94-6436e3e52635/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/NOAA20/CERES/SSF1DEGDAY_L3.001C","keyword":["earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"last_harvested_date":"2026-09-09T00:16:32.744858","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"ceres-time-interpolated-toa-fluxes-clouds-and-aerosols-daily-noaa-20-edition1c","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Daily NOAA-20 Edition1C","type":"dataset"},{"_score":7.9970284,"_sort":[1788912991496,7.9970284,1,"696f198f-14f0-4d25-afc6-c065d1e576a0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CER_SSF1deg-Month_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Time-Interpolated Top of Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Aqua Edition4A data product, which was collected using the CERES Flight Model 3 (FM3) and FM4 instruments on the Aqua platform. Data collection for this product is in progress.\r\n\r\nCERES Single Scanner Footprint One Degree (SSF1deg) Day provides daily averages of regional constant meteorology temporally interpolated TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the SOlar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa, - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager. \r\n\r\nCERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880507770-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/CERES_ATBDs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/examples.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/guide/cer_ssf1deg-month.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/DPC_SSF_R4V1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/README.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/coastal_water.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/readme_cer_ssf_SampleRead_R3-358.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/view_hdf.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CERES","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/ceres.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres-tool.larc.nasa.gov/ord-tool/jsp/SSF1degEd41Selection.jsp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/#ssf1deg-level-3","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/documentation/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/documentation/#data-products-catalog","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/general-product-info/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/general-product-info/#ceres-input-data-sources","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/documents/DQ_summaries/CERES_SSF1deg_Ed4A_DQS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/instruments/satellite-missions/#aqua","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/instruments/satellite-missions/#trmm","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880507770-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/AQUA/CERES/SSF1DEGMONTH_L3.004A","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/AM1/terra_animations.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/DelicateBalance/balance2.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Iris/iris3.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Observing/obs_5.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Water/page4.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/global-maps/CERES_NETFLUX_M","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/2654/aqua-ceres-first-light","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/2984/tropical-cloud-systems-and-ceres","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/36518/ceres-global-cloud-fraction","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/535/ceres-first-light-images","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/563/ceres-detects-earths-heat-and-energy","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/600/first-monthly-ceres-global-longwave-and-shortwave-radiation","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/84930/the-arctic-is-absorbing-more-sunlight","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880507770-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/AQUA/CERES/SSF1DEGMONTH_L3.004A","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2002-07-01/2026-08-31","theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly Aqua Edition4A"},"description":"CER_SSF1deg-Month_Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Time-Interpolated Top of Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Aqua Edition4A data product, which was collected using the CERES Flight Model 3 (FM3) and FM4 instruments on the Aqua platform. Data collection for this product is in progress.\r\n\r\nCERES Single Scanner Footprint One Degree (SSF1deg) Day provides daily averages of regional constant meteorology temporally interpolated TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the SOlar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa, - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager. \r\n\r\nCERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1815f98e-0910-4c9a-9a82-c50000dda705","harvest_record_raw":"https://catalog.data.gov/harvest_record/1815f98e-0910-4c9a-9a82-c50000dda705/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/AQUA/CERES/SSF1DEGMONTH_L3.004A","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"last_harvested_date":"2026-09-09T00:16:31.496954","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"ceres-time-interpolated-toa-fluxes-clouds-and-aerosols-monthly-aqua-edition4a","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly Aqua Edition4A","type":"dataset"},{"_score":8.186695,"_sort":[1788912990448,8.186695,1,"6fae14e0-070b-41b6-9241-7efc4370adf3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"CER_SSF1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Time-Interpolated Top of Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using the CERES Flight Model 1 (FM1), FM2, and MODIS instruments on the Terra platform. Data collection for this product is in progress.\r\n\r\nCERES Single Scanner Footprint One Degree (SSF1deg) Day provides daily averages of regional constant meteorology temporally interpolated TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the SOlar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager. \r\n\r\nCERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880508032-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/CERES_ATBDs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/examples.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/guide/cer_ssf1deg-month.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/DPC_SSF_R4V1.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/README.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/coastal_water.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/readme_cer_ssf_SampleRead_R3-358.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/region_mean_attach_C.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/ceres/readme/view_hdf.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/CERES","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/static/images/project_logos/ceres.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/tools-and-services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres-tool.larc.nasa.gov/ord-tool/jsp/SSF1degEd41Selection.jsp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/#ssf1deg-level-3","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/documentation/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/documentation/#data-products-catalog","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/general-product-info/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/data/general-product-info/#ceres-input-data-sources","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/documents/DQ_summaries/CERES_SSF1deg_Ed4A_DQS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ceres.larc.nasa.gov/instruments/satellite-missions/#terra","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880508032-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/TERRA/CERES/SSF1DEGMONTH_L3.004A","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/AM1/terra_animations.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/DelicateBalance/balance2.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Iris/iris3.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Observing/obs_5.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/Water/page4.php","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/global-maps/CERES_NETFLUX_M","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/2984/tropical-cloud-systems-and-ceres","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/36518/ceres-global-cloud-fraction","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/563/ceres-detects-earths-heat-and-energy","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/600/first-monthly-ceres-global-longwave-and-shortwave-radiation","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/images/84930/the-arctic-is-absorbing-more-sunlight","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880508032-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/TERRA/CERES/SSF1DEGMONTH_L3.004A","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"2000-03-01/2026-08-31","theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly Terra Edition4A"},"description":"CER_SSF1deg-Month_Terra-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Time-Interpolated Top of Atmosphere (TOA) Fluxes, Clouds and Aerosols Monthly Terra Edition4A data product, which was collected using the CERES Flight Model 1 (FM1), FM2, and MODIS instruments on the Terra platform. Data collection for this product is in progress.\r\n\r\nCERES Single Scanner Footprint One Degree (SSF1deg) Day provides daily averages of regional constant meteorology temporally interpolated TOA fluxes, clouds derived from a co-located imager, and aerosols on a 1-degree latitude and longitude grid. This single satellite product uses the primary CERES instrument in cross-track mode. TOA fluxes are provided for clear-sky and all-sky conditions for longwave (LW), shortwave (SW), and window (WN) wavelength bands. The incoming solar daily irradiance is from the SOlar Radiation and Climate Experiment (SORCE) and Total Solar Irradiance (TSI). The cloud properties are averaged for day and night (24-hour) and day-only periods. Cloud properties are stratified into four atmospheric layers (surface-700 hPa, 700 hPa, - 500 hPa, 500 hPa, - 300 hPa, 300 hPa - 100 hPa) and a total of all layers. The aerosols are averaged instantaneous values from the co-located imager. \r\n\r\nCERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/513c1c12-7f41-4375-a69c-47f4fe192b0e","harvest_record_raw":"https://catalog.data.gov/harvest_record/513c1c12-7f41-4375-a69c-47f4fe192b0e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/TERRA/CERES/SSF1DEGMONTH_L3.004A","keyword":["earth-science-aerosols-atmosphere","earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness","earth-science-atmospheric-pressure-atmosphere","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere","earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-incoming-solar-radiation","earth-science-atmospheric-radiation-atmosphere-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-net-radiation","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-radiation-atmosphere-radiative-flux","earth-science-atmospheric-radiation-atmosphere-shortwave-radiation","earth-science-atmospheric-radiation-atmosphere-solar-irradiance","earth-science-atmospheric-temperature-atmosphere","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-clouds-atmosphere","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-radiative-transfer"],"last_harvested_date":"2026-09-09T00:16:30.448119","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"ceres-time-interpolated-toa-fluxes-clouds-and-aerosols-monthly-terra-edition4a","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CERES Time-Interpolated TOA Fluxes, Clouds and Aerosols Monthly Terra Edition4A","type":"dataset"},{"_score":13.191283,"_sort":[1788912791128,13.191283,1,"5a0cf286-a3ad-49c0-bf19-59c8da93fe48"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions at a coarse geographic scale (0.5 x 0.5 degree) for two sets of global rivers and streams covering the period of 1900-2016. Emissions (g N2O-N/yr) are provided for higher-order rivers and streams (>=4th order) and headwater streams (<4th order). The estimates were derived from a water transport model, the Model for Scale Adaptive River Transport (MOSART), coupled with the Dynamic Land Ecosystem Model (DLEM) to link hydrology and ecosystem processes pertaining to N2O flux and transport. Factors driving the model included climate, land use and land cover, and nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage). Nitrogen discharges from streams and rivers to the ocean were calibrated from observations from 50 river basins across the globe.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2389020006-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/Global_Riverine_N2O_Emissions_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Global_Riverine_N2O_Emissions_1791.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Global_Riverine_N2O_Emissions/comp/Global_Riverine_N2O_Emissions.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1791","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2389020006-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1791","keyword":["earth-science-agricultural-chemicals-agriculture-fertilizers","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-nutrients"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 88.5, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -88.5}]]","temporal":"1900-01-01/2016-12-31","theme":["Earth Science"],"title":"CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016"},"description":"This dataset provides modeled estimates of annual nitrous oxide (N2O) emissions at a coarse geographic scale (0.5 x 0.5 degree) for two sets of global rivers and streams covering the period of 1900-2016. Emissions (g N2O-N/yr) are provided for higher-order rivers and streams (>=4th order) and headwater streams (<4th order). The estimates were derived from a water transport model, the Model for Scale Adaptive River Transport (MOSART), coupled with the Dynamic Land Ecosystem Model (DLEM) to link hydrology and ecosystem processes pertaining to N2O flux and transport. Factors driving the model included climate, land use and land cover, and nitrogen inputs (i.e., fertilizer, deposition, manure, and sewage). Nitrogen discharges from streams and rivers to the ocean were calibrated from observations from 50 river basins across the globe.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/71001abb-2b1e-4e30-bace-10961e469c95","harvest_record_raw":"https://catalog.data.gov/harvest_record/71001abb-2b1e-4e30-bace-10961e469c95/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1791","keyword":["earth-science-agricultural-chemicals-agriculture-fertilizers","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-nutrients"],"last_harvested_date":"2026-09-09T00:13:11.128294","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-annual-estimates-of-global-riverine-nitrous-oxide-emissions-1900-2016","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Annual Estimates of Global Riverine Nitrous Oxide Emissions, 1900-2016","type":"dataset"},{"_score":11.681507,"_sort":[1788912789323,11.681507,1,"13a36580-cc2a-4b47-949c-048e42a52de3"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale.   Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution.  The data are provided in NetCDF format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2390701035-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/GPP_CONUS_TROPOMI_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/GPP_CONUS_TROPOMI/comp/GPP_CONUS_TROPOMI.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/GPP_CONUS_TROPOMI/comp/M01_CONUS.mp4","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1875","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2390701035-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1875","keyword":["earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-vegetation-biosphere-solar-induced-fluorescence"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -125.002, \"NorthBoundingCoordinate\": 50.0, \"EastBoundingCoordinate\": -64.9993, \"SouthBoundingCoordinate\": 23.9975}]]","temporal":"2018-02-15/2021-10-15","theme":["Earth Science"],"title":"CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021"},"description":"This dataset includes estimates of gross primary production (GPP) for the conterminous U.S., for 2018-02-15 to 2021-10-15, based on measurements of solar-induced chlorophyll fluorescence from the TROPOspheric Monitoring Instrument (TROPOMI) on the Sentinel-5P satellite platform. GPP was estimated from rates of photosynthesis inferred from SIF using a linear model and ecosystem scaling factors from 102 AmeriFlux sites. Knowledge of the spatiotemporal patterns of GPP is necessary for understanding regional and global carbon budgets. Broad-scale estimates of GPP have typically relied upon carbon cycle models linking spatial patterns of vegetation with remotely sensed environmental data. SIF provides a means to directly estimate photosynthetic activity, and therefore, GPP. Recent deployments of satellite platforms that measure SIF provide near-real-time measurements and represent a breakthrough in measuring GPP on a global scale.   Regular SIF measurements can detect spatially explicit ecosystem-level responses to climate events such as drought and flooding. This dataset includes spatially explicit estimates of GPP (g m-2 d-1), uncertainty in GPP, and related TROPOMI SIF measurements (mW m-2 sr-1 nm-1) at 500-m resolution.  The data are provided in NetCDF format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/70e26e50-0306-4af3-a8fa-581733f1a848","harvest_record_raw":"https://catalog.data.gov/harvest_record/70e26e50-0306-4af3-a8fa-581733f1a848/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1875","keyword":["earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-vegetation-biosphere-solar-induced-fluorescence"],"last_harvested_date":"2026-09-09T00:13:09.323371","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-daily-gross-primary-productivity-over-conus-from-tropomi-sif-2018-2021","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Daily Gross Primary Productivity over CONUS from TROPOMI SIF, 2018-2021","type":"dataset"},{"_score":11.626764,"_sort":[1788912787778,11.626764,1,"0e76bcf1-d697-4fb9-a7f7-a36a151885a1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides daily fire weather indices for interior Alaska during the active fire seasons from 2001 to 2010. Data are gridded at 60-m resolution. The active fire season is defined as May 24-September 18 (days of the year 144-261) in this dataset. Fire weather is the use of meteorological parameters such as relative humidity, wind speed and direction, cloud cover, mixing heights, and soil moisture to determine whether conditions are favorable for fire growth and smoke dispersion. The six indices provided in this dataset are defined and produced following the methodology of the Canadian Forest Fire Weather Index System: Fine Fuel Moisture Code, Duff Moisture Code, Drought Code, Initial Spread Index, Buildup Index, Fire Weather Index. The dataset was developed following point source data interpolation from weather station observations.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2391444072-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/CMS_Fire_Weather_Data_AK_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_Fire_Weather_Data_AK/comp/CMS_Fire_Weather_Data_AK.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1509","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2391444072-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1509","keyword":["earth-science-land-surface-agriculture-indicators-climate-indicators-drought-indices","earth-science-land-surface-agriculture-indicators-climate-indicators-fire-weather-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -171.593, \"NorthBoundingCoordinate\": 73.6633, \"EastBoundingCoordinate\": -131.805, \"SouthBoundingCoordinate\": 56.625}]]","temporal":"2001-01-01/2010-09-18","theme":["Earth Science"],"title":"CMS: Fire Weather Indices for Interior Alaska, 2001-2010"},"description":"This dataset provides daily fire weather indices for interior Alaska during the active fire seasons from 2001 to 2010. Data are gridded at 60-m resolution. The active fire season is defined as May 24-September 18 (days of the year 144-261) in this dataset. Fire weather is the use of meteorological parameters such as relative humidity, wind speed and direction, cloud cover, mixing heights, and soil moisture to determine whether conditions are favorable for fire growth and smoke dispersion. The six indices provided in this dataset are defined and produced following the methodology of the Canadian Forest Fire Weather Index System: Fine Fuel Moisture Code, Duff Moisture Code, Drought Code, Initial Spread Index, Buildup Index, Fire Weather Index. The dataset was developed following point source data interpolation from weather station observations.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4ae17e87-19a6-45e3-967c-5ffabe6a744c","harvest_record_raw":"https://catalog.data.gov/harvest_record/4ae17e87-19a6-45e3-967c-5ffabe6a744c/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1509","keyword":["earth-science-land-surface-agriculture-indicators-climate-indicators-drought-indices","earth-science-land-surface-agriculture-indicators-climate-indicators-fire-weather-index"],"last_harvested_date":"2026-09-09T00:13:07.778885","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-fire-weather-indices-for-interior-alaska-2001-2010","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Fire Weather Indices for Interior Alaska, 2001-2010","type":"dataset"},{"_score":19.129242,"_sort":[1788912783010,19.129242,2,"8596f9c4-cb8e-450f-acb3-6d358510dd0f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.\r\n\r\nResults are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.\r\n\r\nThese downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.\r\n\r\nData are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2395504063-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/GCAM_LANDCOVER_PROJECTION.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/GCAM_Land_Cover_2005-2095_1216.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/GCAM_Land_Cover_2005-2095/comp/GCAM_Land_Cover_2005-2095.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1216","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2395504063-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1216","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-forest-composition-vegetation-structure"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.69, \"NorthBoundingCoordinate\": 49.35, \"EastBoundingCoordinate\": -67.09, \"SouthBoundingCoordinate\": 25.25}]]","temporal":"2005-01-01/2095-12-31","theme":["Earth Science"],"title":"CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095"},"description":"The data provided are annual land cover projections for years 2005 through 2095 generated by the Global Change Assessment Model (GCAM) Version 3.1. For the conterminous USA, the GCAM global gridded results were downscaled to ~5.6 km (0.05 degree) resolution. For each 5.6 x 5.6 km area, the annual land cover percentage comprised by each of the nineteen different land cover classes/plant functional types (PFTs) of the Community Land Model (CLM) (Table 1) are provided.\r\n\r\nResults are reported for GCAM runs of three scenarios of future human efforts towards climate mitigation as related to global carbon emissions, radiative forcing, and land cover change. Specific scenario conditions were 1) a reference scenario with no explicit climate mitigation efforts that reaches a radiative forcing level of over 7 W/m2 in 2100, 2) the 2.6 mitigation pathway (MP) scenario which is a very low emission scenario with a mid-century peak in radiative forcing at ~3 W/m2, declining to 2.6 W/m2 in 2100, and 3) the 4.5 MP scenario which stabilizes radiative forcing at 4.5 W/m2 (~ 650 ppm CO2-equivalent) before 2100.\r\n\r\nThese downscaled land cover projections can be used to derive spatially explicit estimates of potential shifts in croplands, grasslands, shrub lands, and forest lands in each future climate scenario.\r\n\r\nData are presented as three NetCDF v4 files (.nc4), one for each future climate scenario -- 2.6 MP, 4.5 MP, and GCAM reference).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/dd330a3e-2cc4-4f2f-9119-9607aef126cc","harvest_record_raw":"https://catalog.data.gov/harvest_record/dd330a3e-2cc4-4f2f-9119-9607aef126cc/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1216","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-forest-composition-vegetation-structure"],"last_harvested_date":"2026-09-09T00:13:03.010165","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"cms-land-cover-projections-5-6-km-from-gcam-v3-1-for-conterminous-usa-2005-2095","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Land Cover Projections (5.6-km) from GCAM v3.1 for Conterminous USA, 2005-2095","type":"dataset"},{"_score":9.048368,"_sort":[1788912776827,9.048368,2,"a21711b0-b9c6-4ea4-b103-db02034b2b25"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set provides data for MODIS-derived (1) gross primary productivity (GPP) for the years 2000-2010, (2) fraction of photosynthetically active radiation (fPAR) for the years 2003-2013, (3) sea surface temperature (SST) for the years 2003-2013, and (4) the NOAA-source Multivariate ENSO Index (MEI) data for the years 2003-2013 (as a measure of the El Nino/Southern Oscillation). The study areas were three transects on the Baja California Peninsula, Mexico, and the adjacent Pacific Ocean. The terrestrial transects, in order from North to South, West to East included Punta Colonet (three sites-PC1, PC2, PC3), Punta Abreojos (two sites-PA1, PA2), and Magdalena Bay (three sites-MB1, MB2, MB3).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2343141032-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/CMS_SST_GPP_Mexico_fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CMS_SST_GPP_Mexico_1310.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_SST_GPP_Mexico/comp/CMS_SST_GPP_Mexico.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1310","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2343141032-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1310","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-teleconnections","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-vegetation-biosphere-photosynthetically-active-radiation"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -117.0, \"NorthBoundingCoordinate\": 32.6377, \"EastBoundingCoordinate\": -108.0, \"SouthBoundingCoordinate\": 22.7744}]]","temporal":"2000-01-01/2013-12-31","theme":["Earth Science"],"title":"CMS: MODIS GPP, fPAR, and SST, and ENSO Index, Baja California, Mexico, 2000-2013"},"description":"This data set provides data for MODIS-derived (1) gross primary productivity (GPP) for the years 2000-2010, (2) fraction of photosynthetically active radiation (fPAR) for the years 2003-2013, (3) sea surface temperature (SST) for the years 2003-2013, and (4) the NOAA-source Multivariate ENSO Index (MEI) data for the years 2003-2013 (as a measure of the El Nino/Southern Oscillation). The study areas were three transects on the Baja California Peninsula, Mexico, and the adjacent Pacific Ocean. The terrestrial transects, in order from North to South, West to East included Punta Colonet (three sites-PC1, PC2, PC3), Punta Abreojos (two sites-PA1, PA2), and Magdalena Bay (three sites-MB1, MB2, MB3).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/8a23caff-8d5a-4b9f-9773-a485fe743e6e","harvest_record_raw":"https://catalog.data.gov/harvest_record/8a23caff-8d5a-4b9f-9773-a485fe743e6e/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1310","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-teleconnections","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-vegetation-biosphere-photosynthetically-active-radiation"],"last_harvested_date":"2026-09-09T00:12:56.827228","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"cms-modis-gpp-fpar-and-sst-and-enso-index-baja-california-mexico-2000-2013","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: MODIS GPP, fPAR, and SST, and ENSO Index, Baja California, Mexico, 2000-2013","type":"dataset"},{"_score":11.253196,"_sort":[1788912776042,11.253196,1,"e77c3b5d-9bff-4de6-95ce-afb9d973b146"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of 30 meters. Biomass estimates are limited to areas of the Great Basin defined as a pinyon-juniper ecosystem type by the 2016 Landfire Existing Vegetation Type map. The estimates of biomass were based on a linear relationship with pinyon-juniper canopy cover and crown-based allometrics developed from field data in Nevada and Idaho. Canopy cover was estimated from remote sensing by using annual composites of Landsat imagery, which were temporally segmented with the LandTrendr algorithm, along with biologically-relevant climate variables, and topographic indices in a Random Forest regression model. Models of canopy cover were trained from semi-automatic extraction of tree crowns from 2011 - 2013 high resolution imagery (1 m) from the National Agriculture Imagery Program, which were validated with photo interpretation.  Maps of the standard deviation of biomass estimates from decision trees in the Random Forest model are provided as an indicator of uncertainty. Biomass estimates were calibrated to estimates from the Forest Inventory and Analysis program (FIA) on an annual basis and corrections applied.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2389194355-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/CMS_Great_Basin_Biomass_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/CMS_Great_Basin_Biomass/comp/CMS_Great_Basin_Biomass.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1755","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2389194355-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1755","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-biomass"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.896, \"NorthBoundingCoordinate\": 47.1179, \"EastBoundingCoordinate\": -109.312, \"SouthBoundingCoordinate\": 33.9309}]]","temporal":"2000-01-01/2016-12-31","theme":["Earth Science"],"title":"CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016"},"description":"This dataset provides annual maps of live aboveground tree biomass (Mg/ha) for pinyon-juniper forests across the Great Basin of the Western USA for the years 2000-2016 at a spatial resolution of 30 meters. Biomass estimates are limited to areas of the Great Basin defined as a pinyon-juniper ecosystem type by the 2016 Landfire Existing Vegetation Type map. The estimates of biomass were based on a linear relationship with pinyon-juniper canopy cover and crown-based allometrics developed from field data in Nevada and Idaho. Canopy cover was estimated from remote sensing by using annual composites of Landsat imagery, which were temporally segmented with the LandTrendr algorithm, along with biologically-relevant climate variables, and topographic indices in a Random Forest regression model. Models of canopy cover were trained from semi-automatic extraction of tree crowns from 2011 - 2013 high resolution imagery (1 m) from the National Agriculture Imagery Program, which were validated with photo interpretation.  Maps of the standard deviation of biomass estimates from decision trees in the Random Forest model are provided as an indicator of uncertainty. Biomass estimates were calibrated to estimates from the Forest Inventory and Analysis program (FIA) on an annual basis and corrections applied.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/22a5ce22-8e0e-4ccd-bd1e-8c6071f415e8","harvest_record_raw":"https://catalog.data.gov/harvest_record/22a5ce22-8e0e-4ccd-bd1e-8c6071f415e8/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1755","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-biomass"],"last_harvested_date":"2026-09-09T00:12:56.042327","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-pinyon-juniper-forest-live-aboveground-biomass-great-basin-usa-2000-2016","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016","type":"dataset"},{"_score":14.8175,"_sort":[1788912775466,14.8175,1,"eb9b1028-fa15-40b6-b289-58f2c97ef235"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides 20-year tree cover (TC) estimates at 30-m spatial resolution for Mexico from 2000 to 2019 using Landsat time series, airborne LiDAR, and machine learning. The TC data (hereafter, CMS-TC) offers accurate and consistent national-scale percent tree cover estimates with an overall coefficient of determination (R squared) of 0.81 and a root mean square error (RMSE) of 11.90%. The CMS-TC product is essential for tracking tree cover and aboveground biomass changes, monitoring land use dynamics, supporting biodiversity conservation, and informing climate and land use policy decisions. The data are provided in GeoTIFF format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3707308646-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/Tree_Canopy_Cover_Mexico_V2_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Tree_Canopy_Cover_Mexico_V2/comp/Tree_Canopy_Cover_Mexico_V2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/2445","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3707308646-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/2445","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-topography-land-surface-terrain-elevation","earth-science-vegetation-biosphere-vegetation-cover"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -119.226, \"NorthBoundingCoordinate\": 33.7967, \"EastBoundingCoordinate\": -84.6252, \"SouthBoundingCoordinate\": 13.4057}]]","temporal":"2000-01-01/2019-12-31","theme":["Earth Science"],"title":"CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019"},"description":"This dataset provides 20-year tree cover (TC) estimates at 30-m spatial resolution for Mexico from 2000 to 2019 using Landsat time series, airborne LiDAR, and machine learning. The TC data (hereafter, CMS-TC) offers accurate and consistent national-scale percent tree cover estimates with an overall coefficient of determination (R squared) of 0.81 and a root mean square error (RMSE) of 11.90%. The CMS-TC product is essential for tracking tree cover and aboveground biomass changes, monitoring land use dynamics, supporting biodiversity conservation, and informing climate and land use policy decisions. The data are provided in GeoTIFF format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/be712c6d-cbec-4a6c-9816-c23c9c6cfafb","harvest_record_raw":"https://catalog.data.gov/harvest_record/be712c6d-cbec-4a6c-9816-c23c9c6cfafb/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/2445","keyword":["earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-topography-land-surface-terrain-elevation","earth-science-vegetation-biosphere-vegetation-cover"],"last_harvested_date":"2026-09-09T00:12:55.466570","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"cms-tree-cover-estimates-at-30-m-resolution-for-mexico-from-2000-to-2019","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CMS: Tree Cover Estimates at 30 m Resolution for Mexico from 2000 to 2019","type":"dataset"},{"_score":5.4539375,"_sort":[1788912772734,5.4539375,1,"edbefb2c-77cc-4098-b4f4-7d84bbfb02c9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides estimates of carbon dioxide (CO2) and methane (CH4) diffusive fluxes from waterbodies, and watershed landcover data for the central-interior of the Yukon-Kuskokwim Delta (YK delta), Alaska. Dissolved concentrations of methane and carbon dioxide were predicted using an integrated terrestrial-aquatic approach to scale observations based on landscape and waterbody remote sensing drivers. The observations include ~300 samples of surface water dissolved gases collected in July 2016-2019 from the central region of the YK Delta, Alaska. A machine learning model was used to generate estimated fluxes.  Model inputs include Sentinel-2 MSI with derived normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), an Arctic digital elevation model (DEM) with derived slope and flow accumulation, Sentinel-1 C-band July and December VV and VH composites, and a landcover map. Waterbody size, shape, and reflectance were determined using object-based image analysis in Google Earth Engine. Landscape-level input data were averaged in non-nested sub-basins calculated using the System for Automated Geoscientific Analyses (SAGA) \"channel network\" algorithm at three threshold sizes. Cross validation was used to tune and select variables for gradient boosting models. The trained gradient boosting models were then used to predict dissolved methane and carbon dioxide in all waterbodies (~17,000) in the region. These aquatic concentrations were converted to fluxes using an average gas transfer velocity from observations (0.33 m/d). The data are provided in GeoTIFF and shapefile formats.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2992461082-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://above.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/ABOVE/guides/CH4_CO2_WaterBodies_YK_Delta_Fig1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CH4_CO2_WaterBodies_YK_Delta_2178.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CH4_CO2_WaterBodies_YK_Delta/comp/CH4_CO2_WaterBodies_YK_Delta.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/CH4_CO2_WaterBodies_YK_Delta/comp/Landcover_class_descriptions.md","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/2178","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2992461082-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/2178","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-water-terrestrial-hydrosphere-surface-water-chemistry","earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-watershed-characteristics","earth-science-terrestrial-hydrosphere-indicators-climate-indicators-permafrost-melt","earth-science-topography-land-surface-topographic-effects","earth-science-vegetation-biosphere-vegetation-index","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-gases"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -163.82, \"NorthBoundingCoordinate\": 61.6781, \"EastBoundingCoordinate\": -162.073, \"SouthBoundingCoordinate\": 60.895}]]","temporal":"2016-07-07/2019-07-07","theme":["Earth Science"],"title":"CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019"},"description":"This dataset provides estimates of carbon dioxide (CO2) and methane (CH4) diffusive fluxes from waterbodies, and watershed landcover data for the central-interior of the Yukon-Kuskokwim Delta (YK delta), Alaska. Dissolved concentrations of methane and carbon dioxide were predicted using an integrated terrestrial-aquatic approach to scale observations based on landscape and waterbody remote sensing drivers. The observations include ~300 samples of surface water dissolved gases collected in July 2016-2019 from the central region of the YK Delta, Alaska. A machine learning model was used to generate estimated fluxes.  Model inputs include Sentinel-2 MSI with derived normalized difference vegetation index (NDVI) and normalized difference water index (NDWI), an Arctic digital elevation model (DEM) with derived slope and flow accumulation, Sentinel-1 C-band July and December VV and VH composites, and a landcover map. Waterbody size, shape, and reflectance were determined using object-based image analysis in Google Earth Engine. Landscape-level input data were averaged in non-nested sub-basins calculated using the System for Automated Geoscientific Analyses (SAGA) \"channel network\" algorithm at three threshold sizes. Cross validation was used to tune and select variables for gradient boosting models. The trained gradient boosting models were then used to predict dissolved methane and carbon dioxide in all waterbodies (~17,000) in the region. These aquatic concentrations were converted to fluxes using an average gas transfer velocity from observations (0.33 m/d). The data are provided in GeoTIFF and shapefile formats.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7cfb78cf-da91-4d01-808d-8844caf2081a","harvest_record_raw":"https://catalog.data.gov/harvest_record/7cfb78cf-da91-4d01-808d-8844caf2081a/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/2178","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-water-terrestrial-hydrosphere-surface-water-chemistry","earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-watershed-characteristics","earth-science-terrestrial-hydrosphere-indicators-climate-indicators-permafrost-melt","earth-science-topography-land-surface-topographic-effects","earth-science-vegetation-biosphere-vegetation-index","earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-gases"],"last_harvested_date":"2026-09-09T00:12:52.734277","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"co2-and-ch4-fluxes-from-waterbodies-yukon-kuskokwim-delta-alaska-2016-2019","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"CO2 and CH4 Fluxes from Waterbodies, Yukon-Kuskokwim Delta, Alaska, 2016-2019","type":"dataset"},{"_score":7.832299,"_sort":[1788912752969,7.832299,1,"14ad9229-9539-477a-8ebc-19eabd09e2c2"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides maps of coastal wetland carbon and methane fluxes and coastal wetland surface elevation from 2006 to 2011 at 30 m resolution for coastal wetlands of the conterminous United States. Total coastal wetland carbon flux per year per pixel was calculated by combining maps of wetland type and change with soil, biomass, and methane flux data from a literature review. Uncertainty in carbon flux was estimated from 10,000 iterations of a Monte Carlo analysis. In addition to the uncertainty analysis, this dataset also provides a probabilistic map of the extent of tidal elevation, as well as the geospatial files used to create that surface, and a land cover and land cover change map of the coastal zone from 2006 to 2011 with accompanying estimated median soil, biomass, methane, and total CO2 equivalent annual fluxes, each with reported 95% confidence intervals, at 30 m resolution. Land cover was quantified using the Coastal Change Analysis Program (C-CAP), a Landsat-based land cover mapping product.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2389101052-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/Uncertainty_US_Coastal_GHG_Fig1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Uncertainty_US_Coastal_GHG_1650.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/A1_Supplemental_Information.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/A2_Supplemental_Table_1.csv","format":"CSV","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/MHHWS_MHHW_gauges.kmz","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/MHHW_NAVD88_gauges.kmz","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/Uncertainty_US_Coastal_GHG.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Uncertainty_US_Coastal_GHG/comp/coastal_wetland_downscaled_carbon_fluxes_2006_to_2011.tif.vat.dbf","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1650","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2389101052-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1650","keyword":["earth-science-carbon-flux-climate-indicators","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-geomorphic-landforms-processes-land-surface-coastal-processes","earth-science-soils-land-surface-carbon","earth-science-vegetation-biosphere-carbon"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -135.028, \"NorthBoundingCoordinate\": 48.9917, \"EastBoundingCoordinate\": -56.6627, \"SouthBoundingCoordinate\": 20.3831}]]","temporal":"2006-01-01/2011-12-31","theme":["Earth Science"],"title":"Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011"},"description":"This dataset provides maps of coastal wetland carbon and methane fluxes and coastal wetland surface elevation from 2006 to 2011 at 30 m resolution for coastal wetlands of the conterminous United States. Total coastal wetland carbon flux per year per pixel was calculated by combining maps of wetland type and change with soil, biomass, and methane flux data from a literature review. Uncertainty in carbon flux was estimated from 10,000 iterations of a Monte Carlo analysis. In addition to the uncertainty analysis, this dataset also provides a probabilistic map of the extent of tidal elevation, as well as the geospatial files used to create that surface, and a land cover and land cover change map of the coastal zone from 2006 to 2011 with accompanying estimated median soil, biomass, methane, and total CO2 equivalent annual fluxes, each with reported 95% confidence intervals, at 30 m resolution. Land cover was quantified using the Coastal Change Analysis Program (C-CAP), a Landsat-based land cover mapping product.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/1888b7db-0bff-4f0a-861c-9a73c99d24b7","harvest_record_raw":"https://catalog.data.gov/harvest_record/1888b7db-0bff-4f0a-861c-9a73c99d24b7/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1650","keyword":["earth-science-carbon-flux-climate-indicators","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-geomorphic-landforms-processes-land-surface-coastal-processes","earth-science-soils-land-surface-carbon","earth-science-vegetation-biosphere-carbon"],"last_harvested_date":"2026-09-09T00:12:32.969916","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"coastal-wetland-elevation-and-carbon-flux-inventory-with-uncertainty-usa-2006-2011","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Coastal Wetland Elevation and Carbon Flux Inventory with Uncertainty, USA, 2006-2011","type":"dataset"},{"_score":13.2363825,"_sort":[1788912738698,13.2363825,2,"d9d9f3e2-d1db-4b24-9c52-16745bbbcc4c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX dataset consists of precipitation rate, reflectivity, pressure, temperature, relative humidity, wind speed, and wind direction data which were measured by the MET station instruments operated by the Environment and Climate Change Canada (ECCC) and located in Albert Head, B.C., Canada. The MET station was comprised of a Vaisala FD12P Visibility Sensor, an OTT Parsivel2 Present Weather Sensor, an OTT Pluvio2 Precipitation Gauge, and a Vaisala WXT520 Weather Transmitter. The MET Station was also co-located with a CAX-1 radar to compare measurements from the MET station with the radar scans. These MET Station data files are available from November 13, 2015 through January 17, 2016 in ASCII-CSV and XML formats, with daily browse images of precipitation rate plots in PNG format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1980046643-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/OLYMPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://olympex.atmos.washington.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JTECH-D-13-00174.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1175/BAMS-D-16-0182.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmahdmetolyx__1/browse/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmahdmetolyx__1/browse/combo/olympex_AHD_20151117_met-station.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmahdmetolyx__1/docs/gpmahdmetolyx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/olympex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://pubs.usgs.gov/wri/wrir034167/wrir034167.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1980046643-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.wmo.int/pages/prog/www/IMOP/publications/IOM-96_TECO-2008/P2%2804%29_Loeffler-Mang_Germany.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.5067/GPMGV/OLYMPEX/METSTATION/DATA101","keyword":["earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-radar-spectral-engineering-radar-reflectivity"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.48, \"NorthBoundingCoordinate\": 48.39, \"EastBoundingCoordinate\": -123.46, \"SouthBoundingCoordinate\": 48.37}]]","temporal":"2015-11-13/2016-01-17","theme":["Earth Science"],"title":"GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX V1"},"description":"The GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX dataset consists of precipitation rate, reflectivity, pressure, temperature, relative humidity, wind speed, and wind direction data which were measured by the MET station instruments operated by the Environment and Climate Change Canada (ECCC) and located in Albert Head, B.C., Canada. The MET station was comprised of a Vaisala FD12P Visibility Sensor, an OTT Parsivel2 Present Weather Sensor, an OTT Pluvio2 Precipitation Gauge, and a Vaisala WXT520 Weather Transmitter. The MET Station was also co-located with a CAX-1 radar to compare measurements from the MET station with the radar scans. These MET Station data files are available from November 13, 2015 through January 17, 2016 in ASCII-CSV and XML formats, with daily browse images of precipitation rate plots in PNG format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9e687b63-0e01-4137-a70d-b463f67adfb3","harvest_record_raw":"https://catalog.data.gov/harvest_record/9e687b63-0e01-4137-a70d-b463f67adfb3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/OLYMPEX/METSTATION/DATA101","keyword":["earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-radar-spectral-engineering-radar-reflectivity"],"last_harvested_date":"2026-09-09T00:12:18.698976","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-albert-head-ahd-ground-meteorological-station-met-olympex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX V1","type":"dataset"},{"_score":11.397715,"_sort":[1788912737634,11.397715,2,"0daacfdd-4222-4d93-9aac-00b0630febe5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Autonomous Parsivel Unit (APU) MC3E dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The APU dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides precipitation data including raindrop size, precipitation drop size, precipitation rate and amount. The Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979662455-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmpamc3e__1/docs/gpm_parsivel_campaign.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979662455-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/APU/DATA301","keyword":["earth-science-precipitation-atmosphere-droplet-size","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -97.5522, \"NorthBoundingCoordinate\": 36.638, \"EastBoundingCoordinate\": -97.4262, \"SouthBoundingCoordinate\": 36.5641}]]","temporal":"2011-04-15/2011-06-06","theme":["Earth Science"],"title":"GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) MC3E V1"},"description":"The GPM Ground Validation Autonomous Parsivel Unit (APU) MC3E dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The APU dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides precipitation data including raindrop size, precipitation drop size, precipitation rate and amount. The Midlatitude Continental Convective Clouds Experiment (MC3E) took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a89faa09-0819-4fa8-bfa7-15ccc621477e","harvest_record_raw":"https://catalog.data.gov/harvest_record/a89faa09-0819-4fa8-bfa7-15ccc621477e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/APU/DATA301","keyword":["earth-science-precipitation-atmosphere-droplet-size","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate"],"last_harvested_date":"2026-09-09T00:12:17.634929","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-autonomous-parsivel-unit-apu-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) MC3E V1","type":"dataset"},{"_score":9.073952,"_sort":[1788912735289,9.073952,1,"1db9e105-c717-417c-90a9-57305d02d521"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Campaign Reports IFloodS dataset consists of various reports filed by the scientists during the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment, which took place from April to mid-June 2013 in Iowa.  The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. Included in this dataset are Mission Scientist, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979622469-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/IFLOODS/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmmisrepifld__1/docs/gpmmisrepifld_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/ifloods","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979622469-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/IFLOODS/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -92.3, \"NorthBoundingCoordinate\": 48.99, \"EastBoundingCoordinate\": -91.54, \"SouthBoundingCoordinate\": 37.47}]]","temporal":"2013-03-22/2014-04-25","theme":["Earth Science"],"title":"GPM GROUND VALIDATION CAMPAIGN REPORTS IFLOODS V1"},"description":"The GPM Ground Validation Campaign Reports IFloodS dataset consists of various reports filed by the scientists during the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment, which took place from April to mid-June 2013 in Iowa.  The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. Included in this dataset are Mission Scientist, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/83fa6a77-791a-4a8e-90e5-964adc2c01c5","harvest_record_raw":"https://catalog.data.gov/harvest_record/83fa6a77-791a-4a8e-90e5-964adc2c01c5/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/IFLOODS/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:12:15.289440","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-campaign-reports-ifloods-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION CAMPAIGN REPORTS IFLOODS V1","type":"dataset"},{"_score":9.037705,"_sort":[1788912733716,9.037705,2,"3f739c46-1876-45cd-a384-a0864cd3585d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Campaign Reports MC3E dataset consists of various reports filed by the scientists during the Midlatitude Continental Convective Clouds Experiment (MC3E) campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Several of the reports are from the planning, test flights, and preparation. Included in this dataset are Mission Scientist, Mission Manager, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979624154-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmmisrepmc3e__1/docs/MC3E_Scorecard.xlsx","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmmisrepmc3e__1/docs/gpmmisrepmc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979624154-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -105.64, \"NorthBoundingCoordinate\": 48.5123, \"EastBoundingCoordinate\": -91.3954, \"SouthBoundingCoordinate\": 27.957}]]","temporal":"2011-01-27/2011-06-03","theme":["Earth Science"],"title":"GPM GROUND VALIDATION CAMPAIGN REPORTS MC3E V1"},"description":"The GPM Ground Validation Campaign Reports MC3E dataset consists of various reports filed by the scientists during the Midlatitude Continental Convective Clouds Experiment (MC3E) campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Several of the reports are from the planning, test flights, and preparation. Included in this dataset are Mission Scientist, Mission Manager, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/738e6841-5676-4c13-ad78-fdbbab745282","harvest_record_raw":"https://catalog.data.gov/harvest_record/738e6841-5676-4c13-ad78-fdbbab745282/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:12:13.716104","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-campaign-reports-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION CAMPAIGN REPORTS MC3E V1","type":"dataset"},{"_score":13.928398,"_sort":[1788912720737,13.928398,1,"2bbdd079-e042-41f2-8f5d-71e5a055e550"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation (GV) Environment Canada (EC) Visibility Sensor FD12P C3VP dataset consists of visibility and precipitation data collected at the Environment Canada Canadian Climate station at the Centre for Atmospheric Research Experiments (CARE) site during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV Visibility Sensor FD12P C3VP data are available from October 4, 2006 through March 31, 2007 in a Microsoft Excel comma-separated variable spreadsheet.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1995871445-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmvisecc3vp__1/docs/gpmvisecc3vp_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://radarmet.atmos.colostate.edu/c3vp/petersenetal_C3VP.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1995871445-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.manualslib.com/manual/538824/Vaisala-Fd12p.html","format":"HTML","mediaType":"text/html"}],"identifier":"10.5067/GPMGV/C3VP/VISSENSOR/DATA101","keyword":["earth-science-air-quality-atmosphere-visibility","earth-science-precipitation-atmosphere-liquid-precipitation"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -79.791, \"NorthBoundingCoordinate\": 44.242, \"EastBoundingCoordinate\": -79.772, \"SouthBoundingCoordinate\": 44.222}]]","temporal":"2006-10-04/2007-03-31","theme":["Earth Science"],"title":"GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P C3VP V1"},"description":"The GPM Ground Validation (GV) Environment Canada (EC) Visibility Sensor FD12P C3VP dataset consists of visibility and precipitation data collected at the Environment Canada Canadian Climate station at the Centre for Atmospheric Research Experiments (CARE) site during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV Visibility Sensor FD12P C3VP data are available from October 4, 2006 through March 31, 2007 in a Microsoft Excel comma-separated variable spreadsheet.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/21e77244-7990-46fe-9645-66a25e6c4c8a","harvest_record_raw":"https://catalog.data.gov/harvest_record/21e77244-7990-46fe-9645-66a25e6c4c8a/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/C3VP/VISSENSOR/DATA101","keyword":["earth-science-air-quality-atmosphere-visibility","earth-science-precipitation-atmosphere-liquid-precipitation"],"last_harvested_date":"2026-09-09T00:12:00.737428","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-environment-canada-ec-visibility-sensor-fd12p-c3vp-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Environment Canada (EC) Visibility Sensor FD12P C3VP V1","type":"dataset"},{"_score":12.196207,"_sort":[1788912695303,12.196207,1,"58ae534d-d12e-4d9c-b82e-e76422c0f2c5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's\r\nsurface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1980101480-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"ftp://ftp.cpc.ncep.noaa.gov/precip/global_CMORPH/README.cmorph.8km_30minute","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/IFLOODS/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://journals.ametsoc.org/doi/pdf/10.1175/1525-7541%282004%29005%3C0487%3ACAMTPG%3E2.0.CO%3B2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://www.cpc.ncep.noaa.gov/products/janowiak/cmorph_description.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://www.isac.cnr.it/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmorphnifld__1/docs/gpmcmorphifld_datasets.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/IFloodS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1980101480-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/IFLOODS/CMORPH/DATA201","keyword":["earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-anomalies","earth-science-precipitation-atmosphere-precipitation-rate"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 60, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -60}]]","temporal":"2013-04-01/2013-06-30","theme":["Earth Science"],"title":"GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS"},"description":"The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's\r\nsurface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/951a4bff-cd04-4535-9ad6-fcf4e4167473","harvest_record_raw":"https://catalog.data.gov/harvest_record/951a4bff-cd04-4535-9ad6-fcf4e4167473/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/IFLOODS/CMORPH/DATA201","keyword":["earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-anomalies","earth-science-precipitation-atmosphere-precipitation-rate"],"last_harvested_date":"2026-09-09T00:11:35.303564","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-noaa-cpc-morphing-technique-cmorph-ifloods","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS","type":"dataset"},{"_score":13.298802,"_sort":[1788912694530,13.298802,4,"b514e7e9-efc7-4593-9d48-f46858f15909"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IPHEx dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC) during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region.  The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. CMORPH data has been selected from May 1, 2014 through June 14, 2014, during the IPHEx field campaign. These data files are available in raw binary and netCDF-4 file format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979134074-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"ftp://ftp.cpc.ncep.noaa.gov/precip/global_CMORPH/README.cmorph.8km_30minute","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/IPHEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://www.cpc.ncep.noaa.gov/products/janowiak/cmorph_description.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://www.cpc.ncep.noaa.gov/research_papers/ncep_cpc_atlas/7/index.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://www.isac.cnr.it/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1029/2000GL011665","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1029/97JD01210","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.7924/G8CC0XMR","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmorphniphx__1/docs/gpmcmorphniphx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/iphex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/view/journals/apme/40/11/1520-0450_2001_040_1801_teotgp_2.0.co_2.xml","format":"XML","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://journals.ametsoc.org/view/journals/hydr/5/3/1525-7541_2004_005_0487_camtpg_2_0_co_2.xml","format":"XML","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979134074-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/IPHEX/CMORPH/DATA201","keyword":["earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-anomalies","earth-science-precipitation-atmosphere-precipitation-rate"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -179.964, \"NorthBoundingCoordinate\": 59.9636, \"EastBoundingCoordinate\": 179.964, \"SouthBoundingCoordinate\": -59.9636}]]","temporal":"2014-05-01/2014-06-14","theme":["Earth Science"],"title":"GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IPHEX"},"description":"The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IPHEx dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC) during the Global Precipitation Mission (GPM) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region.  The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. CMORPH data has been selected from May 1, 2014 through June 14, 2014, during the IPHEx field campaign. These data files are available in raw binary and netCDF-4 file format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d3f506b3-bb64-490d-8389-1b581df61a9b","harvest_record_raw":"https://catalog.data.gov/harvest_record/d3f506b3-bb64-490d-8389-1b581df61a9b/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/IPHEX/CMORPH/DATA201","keyword":["earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-anomalies","earth-science-precipitation-atmosphere-precipitation-rate"],"last_harvested_date":"2026-09-09T00:11:34.530836","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-noaa-cpc-morphing-technique-cmorph-iphex","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IPHEX","type":"dataset"},{"_score":6.834708,"_sort":[1788912691712,6.834708,1,"f75d4415-dfc5-47cb-b5da-a19c07a2e790"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E data were collected during the Midlatitude Continental Convective Clouds Experiment (MC3E) in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Collected by a network of weather stations, this dataset is composed of 15 minute and 5 minute files with one file per site per day in mts format. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture. More information on the contents and data format can be found at http://www.mesonet.org/index.php/site/about/mdf_mts_files.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1982849730-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://www.mesonet.org/index.php/site/about/mdf_mts_files","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmoumesmc3e__1/docs/OU-PRIME-MC3E-scanning-final_2011-05-05.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmoumesmc3e__1/docs/gpmoumesmc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1982849730-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/MULTIPLE/DATA203","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-soils-agriculture-soil-moisture-water-content"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -103, \"NorthBoundingCoordinate\": 37, \"EastBoundingCoordinate\": -94, \"SouthBoundingCoordinate\": 33.28}]]","temporal":"2011-04-22/2011-06-06","theme":["Earth Science"],"title":"GPM GROUND VALIDATION OKLAHOMA CLIMATOLOGICAL SURVEY MESONET MC3E"},"description":"The GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E data were collected during the Midlatitude Continental Convective Clouds Experiment (MC3E) in central Oklahoma during the April-June 2011 period. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. Collected by a network of weather stations, this dataset is composed of 15 minute and 5 minute files with one file per site per day in mts format. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture. More information on the contents and data format can be found at http://www.mesonet.org/index.php/site/about/mdf_mts_files.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/232677bc-c375-4ef6-b43c-317f57563871","harvest_record_raw":"https://catalog.data.gov/harvest_record/232677bc-c375-4ef6-b43c-317f57563871/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/MULTIPLE/DATA203","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-soils-agriculture-soil-moisture-water-content"],"last_harvested_date":"2026-09-09T00:11:31.712310","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-oklahoma-climatological-survey-mesonet-mc3e","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION OKLAHOMA CLIMATOLOGICAL SURVEY MESONET MC3E","type":"dataset"},{"_score":12.624518,"_sort":[1788912676257,12.624518,1,"c5ced9c8-4c16-4e90-acec-4cbd34e42dde"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation UND Citation Cloud Microphysics MC3E dataset was collected during the  Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the MC3E campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The Citation flew 15 data missions, which totaled 42.6 flight hours. The data are stored as a separate file for each flight. Raw data files for each cloud instrument are also archived to allow investigators to use their own processing software. Particle size spectra for the imaging probes were processed by NCAR and are archived and distributed as a separate dataset (Particle probes).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979132182-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmmc3e__1/browse/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmmc3e__1/browse/20110530/CPI_dataCP20110530_151912_132.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmmc3e__1/docs/Citation_MC3E_Data_Quality_2014-09_v2.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcmmc3e__1/docs/gpmcmmc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979132182-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/MULTIPLE/DATA201","keyword":["earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -99.1654, \"NorthBoundingCoordinate\": 40.944, \"EastBoundingCoordinate\": -95.2302, \"SouthBoundingCoordinate\": 34.3247}]]","temporal":"2011-04-22/2011-06-02","theme":["Earth Science"],"title":"GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E V1"},"description":"The GPM Ground Validation UND Citation Cloud Microphysics MC3E dataset was collected during the  Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The University of North Dakota (UND) Cessna Citation aircraft, an in-situ platform for the MC3E campaign, carried a suite of instruments for measurements of cloud microphysics, state of the atmosphere parameters, aerosols, three-dimensional winds and turbulence. The Citation flew 15 data missions, which totaled 42.6 flight hours. The data are stored as a separate file for each flight. Raw data files for each cloud instrument are also archived to allow investigators to use their own processing software. Particle size spectra for the imaging probes were processed by NCAR and are archived and distributed as a separate dataset (Particle probes).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/fa4a34e7-b6af-418c-b760-2e73941b62f9","harvest_record_raw":"https://catalog.data.gov/harvest_record/fa4a34e7-b6af-418c-b760-2e73941b62f9/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/MULTIPLE/DATA201","keyword":["earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-wind-dynamics","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-platform-characteristics-spectral-engineering-attitude-characteristics"],"last_harvested_date":"2026-09-09T00:11:16.257585","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-und-citation-cloud-microphysics-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION UND CITATION CLOUD MICROPHYSICS MC3E V1","type":"dataset"},{"_score":50.924255,"_sort":[1788912670862,50.924255,1,"903fd722-5160-4bdc-8c37-45ded8ff96e5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"The VCO UVI CDR data set contains products acquired by the UVI instrument onboard the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. The data files are provided in FITS format with an HDU as IMAGE extension, and it also contains metadata to the header of the HDU.","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.vco-v-uvi-3-cdr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.vco-v-uvi-3-cdr-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Planetary Atmospheres"},"theme":["Planetary Science"],"title":"VENUS CLIMATE ORBITER UVI CALIBRATED DATA V1.0"},"description":"The VCO UVI CDR data set contains products acquired by the UVI instrument onboard the Venus Climate Orbiter (VCO, also known as PLANET-C and AKATSUKI) spacecraft. The data files are provided in FITS format with an HDU as IMAGE extension, and it also contains metadata to the header of the HDU.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/98322c61-94eb-46fe-bfae-bec6ca51c441","harvest_record_raw":"https://catalog.data.gov/harvest_record/98322c61-94eb-46fe-bfae-bec6ca51c441/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.vco-v-uvi-3-cdr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.vco-v-uvi-3-cdr-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-09T00:11:10.862543","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"Planetary Atmospheres","slug":"venus-climate-orbiter-uvi-calibrated-data-v1-0-487c2","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"VENUS CLIMATE ORBITER UVI CALIBRATED DATA V1.0","type":"dataset"},{"_score":11.213909,"_sort":[1788912619351,11.213909,2,"6afe261f-ba7e-4d02-a1f6-b3968c01e98b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2345881744-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/CStocks_Greenness_Mangroves_MX_Fig1.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CStocks_Greenness_Mangroves_MX_1853.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/CStocks_Greenness_Mangroves_MX/comp/CStocks_Greenness_Mangroves_MX.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1853","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2345881744-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1853","keyword":["earth-science-ecosystems-biosphere-marine-ecosystems","earth-science-land-use-land-cover-land-surface","earth-science-soils-land-surface-carbon","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -114.055, \"NorthBoundingCoordinate\": 29.7262, \"EastBoundingCoordinate\": -86.5302, \"SouthBoundingCoordinate\": 14.4292}]]","temporal":"2001-01-01/2015-12-31","theme":["Earth Science"],"title":"Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015"},"description":"This dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ab724f3d-268a-4e51-995c-1549dd0f9e77","harvest_record_raw":"https://catalog.data.gov/harvest_record/ab724f3d-268a-4e51-995c-1549dd0f9e77/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1853","keyword":["earth-science-ecosystems-biosphere-marine-ecosystems","earth-science-land-use-land-cover-land-surface","earth-science-soils-land-surface-carbon","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:10:19.351025","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"greenness-trends-and-carbon-stocks-of-mangrove-forests-across-mexico-2001-2015","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015","type":"dataset"},{"_score":19.38016,"_sort":[1788912613599,19.38016,1,"e1f92163-622e-43e9-a5bb-664a419a4589"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2143812328-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://above.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/ABOVE/guides/Soil_Carbon_Flux_Maps_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Soil_Carbon_Flux_Maps_1683.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/above/Soil_Carbon_Flux_Maps/comp/Soil_Carbon_Flux_Maps.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1683","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://opendap.earthdata.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2143812328-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1683","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-frozen-ground-land-surface-permafrost","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-respiration"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 89.979, \"EastBoundingCoordinate\": 179.896, \"SouthBoundingCoordinate\": -84.6916}]]","temporal":"1993-01-01/2100-11-30","theme":["Earth Science"],"title":"Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100"},"description":"This dataset provides gridded estimates of soil CO2 flux (g C m-2 d-1) for the winter non-growing season (NGS) across pan-Arctic and Boreal permafrost regions (>49 Deg N), at 25 km spatial resolution. The data are the daily average flux over a monthly period for two climate periods: the baseline climate period represents 2003-2018 and the future climate scenarios period represents 2018-2100 under Representative Concentration Pathways (RCP) 4.5 and 8.5. The data were produced by applying a Boosted Regression Tree machine learning approach to create gridded estimates of emissions based on in situ observations of NGS fluxes provided in a related dataset. The resulting monthly average flux data records can be used to calculate annual NGS soil CO2 flux budgets from 2003-2100.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a1a0ba6a-cc4f-48ad-a7ba-ee48aa5d2a7e","harvest_record_raw":"https://catalog.data.gov/harvest_record/a1a0ba6a-cc4f-48ad-a7ba-ee48aa5d2a7e/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1683","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-frozen-ground-land-surface-permafrost","earth-science-soils-land-surface-carbon","earth-science-soils-land-surface-soil-respiration"],"last_harvested_date":"2026-09-09T00:10:13.599041","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"gridded-winter-soil-co2-flux-estimates-for-pan-arctic-and-boreal-regions-2003-2100","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Gridded Winter Soil CO2 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2100","type":"dataset"},{"_score":30.439919,"_sort":[1788912609515,30.439919,1,"451d38a9-2695-4448-9567-faf5f4d04cff"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Planetary Data System","hasEmail":"mailto:pds-operator@jpl.nasa.gov"},"description":"Unknown","identifier":"urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-5-ddr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-5-ddr-v1.0::1.0","keyword":["__"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Planetary Atmospheres"},"theme":["Planetary Science"],"title":"MRO MARS CLIMATE SOUNDER LEVEL 5 DDR V1.0"},"description":"Unknown","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1393ca8d-29f4-4869-b488-9d2227637ee5","harvest_record_raw":"https://catalog.data.gov/harvest_record/1393ca8d-29f4-4869-b488-9d2227637ee5/raw","has_download":false,"has_spatial":false,"identifier":"urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-5-ddr-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.mro-m-mcs-5-ddr-v1.0::1.0","keyword":["__"],"last_harvested_date":"2026-09-09T00:10:09.515204","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"Planetary Atmospheres","slug":"mro-mars-climate-sounder-level-5-ddr-v1-0-21a2a","spatial_centroid":null,"spatial_shape":null,"theme":["Planetary Science"],"title":"MRO MARS CLIMATE SOUNDER LEVEL 5 DDR V1.0","type":"dataset"},{"_score":11.634642,"_sort":[1788912515301,11.634642,1,"add6a17b-671f-46db-b02c-d31535d917b5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The ISCCP_B3_NAT data is the International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format data product. This is the original radiance data, sampled to 30 Km and 3-hour spacing. Data collection for this product is complete and was collected using several instruments on multiple platforms, please see the instrument and platform list of this record for a comprehensive list. The normalization of all radiances to a standard calibration made these data a globally uniform set of measurements that can be used for detailed cloud process studies.\r\n\r\nISCCP was the first project of the World Climate Research Program (WCRP) and was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to: produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. \r\n\r\nSince 1983 an international group of institutions has collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and inter-annual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onwards) the analysis also concerns improving understanding of clouds in the global hydrological cycle. \r\n\r\nISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis is performed separately for each satellite radiance data set and the results reported in the Stage DX data product, which has a nominal resolution of 30 km and 3 hours. The Stage D1 product is produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product is produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880704215-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/abstract_ISCCP_Stage_B3.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/isccp_project.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/isccp_b3_details.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_b3_kind.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_b3_module.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_b3_read.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_b3_read_linux.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/readme/readme_isccp_b3_nat.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/ISCCP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://climatedataguide.ucar.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880704215-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ISCCP/B3_NAT","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/esds/competitive-programs/measures/data-analysis-for-isccp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/ShadowsDoubt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/StarsCloudsCrops","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/docs/documents.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/errors.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/newalg.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/products/products.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/aura/science-and-data/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880704215-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/learn/sensing-our-planet/but-the-winds-but-the-spaces","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.giss.nasa.gov/tools/panoply/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ISCCP/B3_NAT","keyword":["earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-imagery","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"1983-07-01/2009-12-31","theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format"},"description":"The ISCCP_B3_NAT data is the International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format data product. This is the original radiance data, sampled to 30 Km and 3-hour spacing. Data collection for this product is complete and was collected using several instruments on multiple platforms, please see the instrument and platform list of this record for a comprehensive list. The normalization of all radiances to a standard calibration made these data a globally uniform set of measurements that can be used for detailed cloud process studies.\r\n\r\nISCCP was the first project of the World Climate Research Program (WCRP) and was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to: produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. \r\n\r\nSince 1983 an international group of institutions has collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and inter-annual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onwards) the analysis also concerns improving understanding of clouds in the global hydrological cycle. \r\n\r\nISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis is performed separately for each satellite radiance data set and the results reported in the Stage DX data product, which has a nominal resolution of 30 km and 3 hours. The Stage D1 product is produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product is produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5c6b4a30-80bd-4d58-80bf-6a73251280cf","harvest_record_raw":"https://catalog.data.gov/harvest_record/5c6b4a30-80bd-4d58-80bf-6a73251280cf/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ISCCP/B3_NAT","keyword":["earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-visible-wavelengths-spectral-engineering-visible-imagery","earth-science-visible-wavelengths-spectral-engineering-visible-radiance"],"last_harvested_date":"2026-09-09T00:08:35.301062","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"international-satellite-cloud-climatology-project-isccp-stage-b3-reduced-radiances-in-nati","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format","type":"dataset"},{"_score":12.643976,"_sort":[1788912514912,12.643976,1,"3af28914-9d66-4c1e-95ac-1657ee8803be"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The ISCCP_D2 data set contains monthly, 280 KM equal-area grid data from various polar and geostationary satellites. Climatological Summary Product contents contain monthly average of D1 quantities including mean diurnal cycle, distribution and properties of total cloudiness and cloud types.\r\n\r\nThe International Satellite Cloud Climatology Project (ISCCP), the first project of the World Climate Research Program (WCRP), was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983): \r\n- To produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived. \r\n- To stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models. \r\n- To promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. \r\n\r\nSince 1983 an international group of institutions has collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and interannual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onwards) the analysis also concerns improving understanding of clouds in the global hydrological cycle. \r\n\r\nThe ISCCP analysis combines satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determines the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis is performed separately for each satellite radiance data set and the results reported in the Stage DX data product, which has a nominal resolution of 30 km and 3 hours. The Stage D1 product is produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product is produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880704243-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/base_isccp_d1_d2_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/isccp_project.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_d2_read.c","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_d2_read.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/readme/readme_isccp_d2.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/ISCCP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://climatedataguide.ucar.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880704243-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ISCCP/D2","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/esds/competitive-programs/measures/data-analysis-for-isccp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/ShadowsDoubt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/StarsCloudsCrops","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/docs/documents.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/errors.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/newalg.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/products/products.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/aura/science-and-data/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880704243-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/learn/sensing-our-planet/but-the-winds-but-the-spaces","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.giss.nasa.gov/tools/panoply/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ISCCP/D2","keyword":["earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-optical-depth-thickness","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-snow-ice-cryosphere-snow-cover","earth-science-snow-ice-terrestrial-hydrosphere-snow-cover"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"1983-07-01/2009-12-31","theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage D2 Monthly Cloud Products - Revised Algorithm in Hierarchical Data Format"},"description":"The ISCCP_D2 data set contains monthly, 280 KM equal-area grid data from various polar and geostationary satellites. Climatological Summary Product contents contain monthly average of D1 quantities including mean diurnal cycle, distribution and properties of total cloudiness and cloud types.\r\n\r\nThe International Satellite Cloud Climatology Project (ISCCP), the first project of the World Climate Research Program (WCRP), was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983): \r\n- To produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived. \r\n- To stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models. \r\n- To promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. \r\n\r\nSince 1983 an international group of institutions has collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and interannual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onwards) the analysis also concerns improving understanding of clouds in the global hydrological cycle. \r\n\r\nThe ISCCP analysis combines satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determines the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis is performed separately for each satellite radiance data set and the results reported in the Stage DX data product, which has a nominal resolution of 30 km and 3 hours. The Stage D1 product is produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product is produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c5c6ee0c-5d2d-40e4-9c11-4491405e9507","harvest_record_raw":"https://catalog.data.gov/harvest_record/c5c6ee0c-5d2d-40e4-9c11-4491405e9507/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ISCCP/D2","keyword":["earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species","earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-optical-depth-thickness","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-clouds-atmosphere-cloud-microphysics","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-snow-ice-cryosphere-snow-cover","earth-science-snow-ice-terrestrial-hydrosphere-snow-cover"],"last_harvested_date":"2026-09-09T00:08:34.912813","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"international-satellite-cloud-climatology-project-isccp-stage-d2-monthly-cloud-products-re","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage D2 Monthly Cloud Products - Revised Algorithm in Hierarchical Data Format","type":"dataset"},{"_score":11.554346,"_sort":[1788912514519,11.554346,1,"4cfd56fb-eafd-4d45-83ba-ce7a0edc7d20"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"ISCCP_DX_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format data set. It contains 3-hourly, 30 KM satellite image projection data from various polar and geostationary satellites. Pixel Level Cloud Product contents include calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. Data collection for this data set is complete.\r\n\r\nISCCP was the first project of the World Climate Research Program (WCRP) and was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to:\r\nproduce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle.\r\n\r\nStarting in 1983, an international group of institutions collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and inter-annual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onward) the analysis was also concerned with improving understanding of clouds in the global hydrological cycle.\r\n\r\nThe ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985, Rossow et al. 1987) with the Tiros Operational Vertical Sounder (TOVS) atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of or absence of clouds in each individual image pixel and retrieved the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product was produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3880704255-LARC_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/citing-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/base_isccp_dx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/guide/isccp_project.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/isccp_dx_read.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/read_software/linux_isccp_dx_read.f","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/documents/isccp/readme/readme_isccp_dx_nat.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://asdc.larc.nasa.gov/project/ISCCP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://climatedataguide.ucar.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3880704255-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/ISCCP/DX","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://earthdata.nasa.gov/esds/competitive-programs/measures/data-analysis-for-isccp","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/ShadowsDoubt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://earthobservatory.nasa.gov/features/StarsCloudsCrops","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/docs/documents.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/errors.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/newalg.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://isccp.giss.nasa.gov/products/products.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://science.nasa.gov/mission/aura/science-and-data/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3880704255-LARC_CLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/learn/sensing-our-planet/but-the-winds-but-the-spaces","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.giss.nasa.gov/tools/panoply/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/ISCCP/DX","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery","earth-science-visible-wavelengths-spectral-engineering-visible-imagery"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/LARC/SD/ASDC"},"spatial":"[\"CARTESIAN\", [{\"Boundary\": {\"Points\": [{\"Latitude\": -90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": 180}, {\"Latitude\": 90, \"Longitude\": -180}, {\"Latitude\": -90, \"Longitude\": -180}]}}]]","temporal":"1983-06-30/2009-12-31","theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format"},"description":"ISCCP_DX_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format data set. It contains 3-hourly, 30 KM satellite image projection data from various polar and geostationary satellites. Pixel Level Cloud Product contents include calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. Data collection for this data set is complete.\r\n\r\nISCCP was the first project of the World Climate Research Program (WCRP) and was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to:\r\nproduce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle.\r\n\r\nStarting in 1983, an international group of institutions collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and inter-annual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onward) the analysis was also concerned with improving understanding of clouds in the global hydrological cycle.\r\n\r\nThe ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985, Rossow et al. 1987) with the Tiros Operational Vertical Sounder (TOVS) atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of or absence of clouds in each individual image pixel and retrieved the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product was produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7d283ba3-d3dd-40ed-986e-fe8941818720","harvest_record_raw":"https://catalog.data.gov/harvest_record/7d283ba3-d3dd-40ed-986e-fe8941818720/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ISCCP/DX","keyword":["earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-clouds-atmosphere-cloud-properties","earth-science-clouds-atmosphere-cloud-types","earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery","earth-science-visible-wavelengths-spectral-engineering-visible-imagery"],"last_harvested_date":"2026-09-09T00:08:34.519093","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"international-satellite-cloud-climatology-project-isccp-stage-dx-pixel-level-cloud-product","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format","type":"dataset"},{"_score":59.84003,"_sort":[1788912513461,59.84003,1,"3dd81fdf-7297-4dfe-8f30-dac14345b3d7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990,  and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum  temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2785293782-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/1015_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/cru_monthly_mean_xdeg_1015.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/near-surface_met/cru_monthly_mean_xdeg/comp/0_cru_mean_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/near-surface_met/cru_monthly_mean_xdeg/comp/1_cru_monthly_mean_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1015","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2785293782-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1015","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-clouds-atmosphere-cloud-properties","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-topography-land-surface-terrain-elevation"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1986-01-01/1995-12-31","theme":["Earth Science"],"title":"ISLSCP II Climate Research Unit CRU05 Monthly Climate Data"},"description":"This data set contains a mean monthly climatology for several climate variables averaged over the period from 1961 to 1990,  and constructed from a data set of station 1961-1990 climatological normals, numbering between 19,800 (precipitation) and 3,615 (windspeed; see New et al, 1999 for details). The station data were interpolated as a function of latitude, longitude and elevation using thin-plate splines. The data comprise a suite of climate elements: precipitation, mean, maximum, and minimum  temperature, frost frequency, diurnal temperature range, radiation, wet-day frequency, vapor pressure, wind, and cloud cover. There are 23 files in this data set provided at 0.5 and 1.0 degree spatial resolutions.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d3252345-5ae7-4341-8586-1a2297b587c8","harvest_record_raw":"https://catalog.data.gov/harvest_record/d3252345-5ae7-4341-8586-1a2297b587c8/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1015","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-clouds-atmosphere-cloud-properties","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-topography-land-surface-terrain-elevation"],"last_harvested_date":"2026-09-09T00:08:33.461815","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"islscp-ii-climate-research-unit-cru05-monthly-climate-data","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Climate Research Unit CRU05 Monthly Climate Data","type":"dataset"},{"_score":8.828213,"_sort":[1788912512751,8.828213,1,"28c58c69-0b6e-48df-a9a7-f02ee3d4b2ba"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The objective of this study was to derive continuous fields of vegetation cover from multi-temporal Advanced Very High Resolution Radiometer (AVHRR) data using all available bands and derived Normalized Difference Vegetation Index (NDVI). The continuous fields describe sub-pixel proportions of cover for tree, herbaceous, bare ground and water cover types. For tree cover, additional fields describing leaf longevity (evergreen and deciduous) and leaf morphology (broadleaf and needleleaf) were also generated. The modeling of carbon dynamics and climate require knowing tree characteristics such as these. These products were resampled and aggregated to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. The data set describes the geographic distributions of three fundamental vegetation characteristics: tree, herbaceous and bare ground cover, plus a water layer. For tree cover, leaf longevity and morphology layers were produced.\n\nThis data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.\n\nISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784863182-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/931_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/veg_continuous_fields_xdeg_931.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/veg_continuous_fields_xdeg/comp/0_veg_cont_fields_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/veg_continuous_fields_xdeg/comp/1_veg_continuous_fields_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/931","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784863182-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/931","keyword":["earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1992-04-01/1993-05-31","theme":["Earth Science"],"title":"ISLSCP II Continuous Fields of Vegetation Cover, 1992-1993"},"description":"The objective of this study was to derive continuous fields of vegetation cover from multi-temporal Advanced Very High Resolution Radiometer (AVHRR) data using all available bands and derived Normalized Difference Vegetation Index (NDVI). The continuous fields describe sub-pixel proportions of cover for tree, herbaceous, bare ground and water cover types. For tree cover, additional fields describing leaf longevity (evergreen and deciduous) and leaf morphology (broadleaf and needleleaf) were also generated. The modeling of carbon dynamics and climate require knowing tree characteristics such as these. These products were resampled and aggregated to 0.25, 0.5 and 1.0 degree grids for the International Satellite Land Surface Climatology Project (ISLSCP) data initiative II. The data set describes the geographic distributions of three fundamental vegetation characteristics: tree, herbaceous and bare ground cover, plus a water layer. For tree cover, leaf longevity and morphology layers were produced.\n\nThis data set is one of the products of the International Satellite Land-Surface Climatology Project, Initiative II (ISLSCP II) data collection which contains 50 global time series data sets for the ten-year period 1986 to 1995. Selected data sets span even longer periods. ISLSCP II is a consistent collection of data sets that were compiled from existing data sources and algorithms, and were designed to satisfy the needs of modelers and investigators of the global carbon, water and energy cycle. The data were acquired from a number of U.S. and international agencies, universities, and institutions. The global data sets were mapped at consistent spatial (1, 0.5 and 0.25 degrees) and temporal (monthly, with meteorological data at finer (e.g., 3-hour)) resolutions and reformatted into a common ASCII format. The data and documentation have undergone two peer reviews.\n\nISLSCP is one of several projects of Global Energy and Water Cycle Experiment (GEWEX) [http://www.gewex.org/] and has the lead role in addressing land-atmosphere interactions -- process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/19d38e94-0e86-4a3a-a25d-81606761ea77","harvest_record_raw":"https://catalog.data.gov/harvest_record/19d38e94-0e86-4a3a-a25d-81606761ea77/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/931","keyword":["earth-science-atmospheric-radiation-atmosphere-albedo","earth-science-atmospheric-radiation-atmosphere-reflectance","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:32.751088","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"islscp-ii-continuous-fields-of-vegetation-cover-1992-1993","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Continuous Fields of Vegetation Cover, 1992-1993","type":"dataset"},{"_score":11.5414,"_sort":[1788912511686,11.5414,1,"5c4879bb-7784-4f31-b137-259eddb40aaf"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. FASIR-NDVI data are also used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. There are three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude. FASIR adjustments concentrated on reducing NDVI variations arising from atmospheric, calibration, view and illumination geometries and other effects not related to actual vegetation change.\n\nFASIR NDVI was also generated to provide inputs for computing a 17-year time series of associated biophysical parameters, provided as a separate data set in this data collection. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784893177-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/972_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/fasir_ndvi_monthly_xdeg_972.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/fasir_ndvi_monthly_xdeg/comp/0_fasir_ndvi_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/fasir_ndvi_monthly_xdeg/comp/1_fasir_ndvi_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/972","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784893177-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/972","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1982-01-01/1998-12-31","theme":["Earth Science"],"title":"ISLSCP II FASIR-adjusted NDVI, 1982-1998"},"description":"The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 17-year, satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. FASIR-NDVI data are also used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface. There are three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude. FASIR adjustments concentrated on reducing NDVI variations arising from atmospheric, calibration, view and illumination geometries and other effects not related to actual vegetation change.\n\nFASIR NDVI was also generated to provide inputs for computing a 17-year time series of associated biophysical parameters, provided as a separate data set in this data collection. The production of the FASIR NDVI data set and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/b081f917-d4f6-4acf-97da-47b1538e21a1","harvest_record_raw":"https://catalog.data.gov/harvest_record/b081f917-d4f6-4acf-97da-47b1538e21a1/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/972","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:31.686231","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"islscp-ii-fasir-adjusted-ndvi-1982-1998","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II FASIR-adjusted NDVI, 1982-1998","type":"dataset"},{"_score":11.501248,"_sort":[1788912510961,11.501248,2,"1040dd4a-73ba-432e-a209-de8d923d3f23"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 22-year satellite record of monthly changes in terrestrial vegetation. This data set contains three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude with data from July 1981 through December 2002. New features include reduced NDVI variations arising from calibration, view geometry, volcanic aerosols, and other effects not related to actual vegetation change. In particular, NOAA-9 descending node data from September 1994 to January 1995, volcanic stratospheric aerosol correction for 1982-1984 and 1991-1994, and improved NDVI using empirical mode decomposition/reconstruction (EMD) to minimize effects of orbital drift. Global NDVI was generated to provide inputs for computing the time series of biophysical parameters contained in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II collection. NDVI is used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784893549-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/973_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/gimms_ndvi_monthly_xdeg_973.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/gimms_ndvi_monthly_xdeg/comp/0_gimms_ndvi_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/gimms_ndvi_monthly_xdeg/comp/1_gimms_ndvi_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/973","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784893549-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/973","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1981-07-01/2002-12-31","theme":["Earth Science"],"title":"ISLSCP II GIMMS Monthly NDVI, 1981-2002"},"description":"The Global Inventory Modelling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets were generated to provide a 22-year satellite record of monthly changes in terrestrial vegetation. This data set contains three data files provided at spatial resolutions of 0.25, 0.5 and 1.0 degree in latitude and longitude with data from July 1981 through December 2002. New features include reduced NDVI variations arising from calibration, view geometry, volcanic aerosols, and other effects not related to actual vegetation change. In particular, NOAA-9 descending node data from September 1994 to January 1995, volcanic stratospheric aerosol correction for 1982-1984 and 1991-1994, and improved NDVI using empirical mode decomposition/reconstruction (EMD) to minimize effects of orbital drift. Global NDVI was generated to provide inputs for computing the time series of biophysical parameters contained in the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II collection. NDVI is used in climate models and biogeochemical models to calculate photosynthesis, the exchange of CO2 between the atmosphere and the land surface, land-surface evapotranspiration and the absorption and release of energy by the land surface.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/14dc87c9-a723-4098-9bda-ee9c39868c58","harvest_record_raw":"https://catalog.data.gov/harvest_record/14dc87c9-a723-4098-9bda-ee9c39868c58/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/973","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:30.961395","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"islscp-ii-gimms-monthly-ndvi-1981-2002","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II GIMMS Monthly NDVI, 1981-2002","type":"dataset"},{"_score":8.173033,"_sort":[1788912508109,8.173033,2,"9de5d5ab-6430-44c4-bc28-e3491252a6cf"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data.  These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784896705-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/981_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/sea_ice_extent_xdeg_981.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/snow_sea-ice_oceans/sea_ice_extent_xdeg/comp/0_sea_ice_extent_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/snow_sea-ice_oceans/sea_ice_extent_xdeg/comp/1_sea_ice_extent_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/981","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784896705-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/981","keyword":["earth-science-cryospheric-indicators-climate-indicators-sea-ice-concentration","earth-science-sea-ice-cryosphere-sea-ice-concentration","earth-science-sea-ice-oceans-ice-extent","earth-science-sea-ice-oceans-sea-ice-concentration"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1986-01-01/1995-12-31","theme":["Earth Science"],"title":"ISLSCP II Global Sea Ice Concentration"},"description":"This International Satellite Land Surface Climatology Project (ISLSCP) Initiative II data set, ISLSCP II Global Sea Ice Concentration, is based on the Goddard Space Flight Center (GSFC) Sea Ice Concentrations from Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellites Program (DMSP) Special Sensor Microwave/Imager (SSM/I) Passive Microwave Data. This data set contains four zip files which includes sea ice concentration (in percentage of ocean area covered by sea ice), table data and map data.  These original data were re-gridded by the National Snow and Ice Data Center (NSIDC) from their original 25-km spatial resolution and EASE-Grid into equal angle Earth grids with quarter, half and one degree spatial resolutions in latitude/longitude. The ISLSCP II staff have taken the one degree resolution original data provided by the Principal Investigator and created global maps of monthly sea ice concentration on a global one degree grid using the latitude and longitude coordinates that were provided. Individual monthly files were created and written to the ASCII format. The re-gridded one degree original data were also adjusted to match the one degree ISLSCP II land/water mask.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c8864d3a-12d0-45fe-9a34-8038ff546488","harvest_record_raw":"https://catalog.data.gov/harvest_record/c8864d3a-12d0-45fe-9a34-8038ff546488/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/981","keyword":["earth-science-cryospheric-indicators-climate-indicators-sea-ice-concentration","earth-science-sea-ice-cryosphere-sea-ice-concentration","earth-science-sea-ice-oceans-ice-extent","earth-science-sea-ice-oceans-sea-ice-concentration"],"last_harvested_date":"2026-09-09T00:08:28.109607","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"islscp-ii-global-sea-ice-concentration","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Global Sea Ice Concentration","type":"dataset"},{"_score":13.655005,"_sort":[1788912507069,13.655005,4,"ff9f54e8-f5ef-4cab-8f3e-417b23f4a04c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Historical Croplands Cover data set was developed to understand the consequences of historical changes in land use and land cover for ecosystem goods and services. In particular, this data set can be used to study how global changes in cultivated area has influenced climate, biogeochemical cycles, biodiversity, etc. This data set can be used directly within spatially-explicit climate and biogeochemical models.\r\n\r\nThis is a gridded data set describing the fraction of each grid cell in the globe that is occupied by cultivated land from 1700 to 1992. Data layers are provided for every 50 years from 1700 to 1850, every 10 years from 1850 to 1980, and every year from 1986 to 1992.\r\n\r\nThere are two sources of global land cover/land use data. The most recent estimates are derived from satellite measurements, and are available in a spatially-explicit fashion for roughly the last 30 years. The other estimate is based on ground-based sources such as census statistics, land surveys, estimates by historical geographers, etc. These land inventory data are only available at the scale of political units, but have the advantage of being historical. Ramankutty and Foley (1998) derived a spatially-explicit data set of croplands in 1992 by synthesizing remotely-sensed land cover data with contemporary land inventory data. Furthermore, Ramankutty and Foley (1999) extended this data set into the past (back to 1700) using historical land inventory data.\r\n\r\nThe data set should only be used for continental-to-global scale analysis and modeling. The data set captures the broad patterns of cropland change over history, but not necessarily the fine details at local to regional scales - please check the data quality before using it at fine spatial scales. The quality of historical data for the Russian Federation is poor. The quality of data prior to 1850 is poor -- only continental-scale historical data were used for that period.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784888334-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/966_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/historic_cropland_xdeg_966.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/historic_cropland_xdeg/comp/0_historic_cropland_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/historic_cropland_xdeg/comp/1_historic_cropland_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/966","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784888334-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/966","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1700-01-01/1992-12-31","theme":["Earth Science"],"title":"ISLSCP II Historical Croplands Cover, 1700-1992"},"description":"The Historical Croplands Cover data set was developed to understand the consequences of historical changes in land use and land cover for ecosystem goods and services. In particular, this data set can be used to study how global changes in cultivated area has influenced climate, biogeochemical cycles, biodiversity, etc. This data set can be used directly within spatially-explicit climate and biogeochemical models.\r\n\r\nThis is a gridded data set describing the fraction of each grid cell in the globe that is occupied by cultivated land from 1700 to 1992. Data layers are provided for every 50 years from 1700 to 1850, every 10 years from 1850 to 1980, and every year from 1986 to 1992.\r\n\r\nThere are two sources of global land cover/land use data. The most recent estimates are derived from satellite measurements, and are available in a spatially-explicit fashion for roughly the last 30 years. The other estimate is based on ground-based sources such as census statistics, land surveys, estimates by historical geographers, etc. These land inventory data are only available at the scale of political units, but have the advantage of being historical. Ramankutty and Foley (1998) derived a spatially-explicit data set of croplands in 1992 by synthesizing remotely-sensed land cover data with contemporary land inventory data. Furthermore, Ramankutty and Foley (1999) extended this data set into the past (back to 1700) using historical land inventory data.\r\n\r\nThe data set should only be used for continental-to-global scale analysis and modeling. The data set captures the broad patterns of cropland change over history, but not necessarily the fine details at local to regional scales - please check the data quality before using it at fine spatial scales. The quality of historical data for the Russian Federation is poor. The quality of data prior to 1850 is poor -- only continental-scale historical data were used for that period.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4d8c7d8f-2dce-40d0-a8ee-0928a6eae550","harvest_record_raw":"https://catalog.data.gov/harvest_record/4d8c7d8f-2dce-40d0-a8ee-0928a6eae550/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/966","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:27.069735","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"ORNL_DAAC","slug":"islscp-ii-historical-croplands-cover-1700-1992","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Historical Croplands Cover, 1700-1992","type":"dataset"},{"_score":12.25776,"_sort":[1788912506712,12.25776,1,"1a79fd18-1e6a-4cb7-91db-78778c5b416d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).\n\nTesting against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784888644-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/967_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/historic_landcover_xdeg_967.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/historic_landcover_xdeg/comp/0_historic_landcover_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/historic_landcover_xdeg/comp/1_historic_landcover_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/967","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784888644-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/967","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1700-01-01/1990-12-31","theme":["Earth Science"],"title":"ISLSCP II Historical Land Cover and Land Use, 1700-1990"},"description":"The Historical Land Cover and Land Use data set was developed to provide the global change community with historical land use estimates. The data set describes historical land use changes over a 300-year historical period (1700-1990).\n\nTesting against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate and biogeochemical systems, these models should aim to simulate the land use dynamics for long periods, i.e., spanning decades to centuries. Developing such models requires an understanding of past and current trends and is therefore strongly data dependent. For this purpose, a historical database of the global environment has been developed: HYDE. Historical statistical inventories on agricultural land (census data, tax records, land surveys, etc) and different spatial analysis techniques were used to create a geographically-explicit data set of land use change, with a regular time interval. The data set can be used to test integrated models of global change. Continental-scale historical data were used for that period.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/f59ef5a8-8f56-4427-866f-331882786ff3","harvest_record_raw":"https://catalog.data.gov/harvest_record/f59ef5a8-8f56-4427-866f-331882786ff3/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/967","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-canopy-characteristics","earth-science-vegetation-biosphere-leaf-characteristics","earth-science-vegetation-biosphere-plant-characteristics","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:26.712983","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"islscp-ii-historical-land-cover-and-land-use-1700-1990","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Historical Land Cover and Land Use, 1700-1990","type":"dataset"},{"_score":15.485713,"_sort":[1788912504582,15.485713,1,"5841b7e6-dc31-4038-89ee-5225047e42ec"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set was developed to describe the state of the global land cover in terms of 15 major vegetation types, plus water, before alteration by humans. It forms a complement to the historical croplands data set developed by Ramankutty and Foley (1999). By overlaying the two, one can determine the extent to which natural vegetation has been cleared for cultivation. This data set can be used directly within spatially-explicit climate and biogeochemical models. There are four total files in this data set. Two files contain the land cover types representing potential natural vegetation before human alteration, and two other files contain those points in the original data set submitted by the Principal Investigator that have been modified in order to match the land/water mask of the ISLSCP Initiative II.\r\n\r\nThe geographic distribution of contemporary land cover types can be derived from remotely-sensed data. However, humans now dominate much of the world and there is little evidence of the pre-human-settlement natural vegetation or Potential Natural Vegetation (PNV). PNV, as defined here, does not necessarily represent the world'??s natural pre-human-disturbance vegetation. Rather, our definition of PNV represents the world's vegetation cover that would most likely exist now in equilibrium with present-day climate and natural disturbance, in the absence of human activities.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784887174-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/961_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/potential_veg_xdeg_961.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/potential_veg_xdeg/comp/0_potential_veg_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/vegetation/potential_veg_xdeg/comp/1_potential_veg_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/961","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784887174-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/961","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-deciduous-vegetation","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1992-04-01/1993-04-01","theme":["Earth Science"],"title":"ISLSCP II Potential Natural Vegetation Cover"},"description":"This data set was developed to describe the state of the global land cover in terms of 15 major vegetation types, plus water, before alteration by humans. It forms a complement to the historical croplands data set developed by Ramankutty and Foley (1999). By overlaying the two, one can determine the extent to which natural vegetation has been cleared for cultivation. This data set can be used directly within spatially-explicit climate and biogeochemical models. There are four total files in this data set. Two files contain the land cover types representing potential natural vegetation before human alteration, and two other files contain those points in the original data set submitted by the Principal Investigator that have been modified in order to match the land/water mask of the ISLSCP Initiative II.\r\n\r\nThe geographic distribution of contemporary land cover types can be derived from remotely-sensed data. However, humans now dominate much of the world and there is little evidence of the pre-human-settlement natural vegetation or Potential Natural Vegetation (PNV). PNV, as defined here, does not necessarily represent the world'??s natural pre-human-disturbance vegetation. Rather, our definition of PNV represents the world's vegetation cover that would most likely exist now in equilibrium with present-day climate and natural disturbance, in the absence of human activities.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0f5bb460-7e61-4210-8dc4-03fa4d4abb93","harvest_record_raw":"https://catalog.data.gov/harvest_record/0f5bb460-7e61-4210-8dc4-03fa4d4abb93/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/961","keyword":["earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-surface-radiative-properties-land-surface-reflectance","earth-science-vegetation-biosphere-deciduous-vegetation","earth-science-vegetation-biosphere-vegetation-cover","earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:08:24.582061","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"islscp-ii-potential-natural-vegetation-cover","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II Potential Natural Vegetation Cover","type":"dataset"},{"_score":14.285363,"_sort":[1788912503529,14.285363,2,"c4ed95f1-f4ae-4a04-9a42-1148af6245f7"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The University of New Hampshire (UNH)/Global Runoff Data Centre (GRDC) composite runoff data combines simulated water balance model runoff estimates derived from climate forcing with monitored river discharge. It can be viewed as a data assimilation applied in a water balance model context (conceptually similar to the commonly used 4DDA techniques used in meteorological modeling). Such a data assimilation scheme preserves the spatial specificity of the water balance calculations while constrained by the more accurate discharge measurement. There are 11 data files in this data set and 1 changemap file which shows the differences between the ISLSCP II land/water mask and the original data set.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2784897571-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/994_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/comp_runoff_monthly_xdeg_994.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/hydrology_soils/comp_runoff_monthly_xdeg/comp/0_comp_runoff_month_readme.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/islscp_ii/hydrology_soils/comp_runoff_monthly_xdeg/comp/1_comp_runoff_month_doc.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/994","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2784897571-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/994","keyword":["earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-topography-land-surface-topographic-effects"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1986-01-01/1995-12-31","theme":["Earth Science"],"title":"ISLSCP II UNH/GRDC Composite Monthly Runoff"},"description":"The University of New Hampshire (UNH)/Global Runoff Data Centre (GRDC) composite runoff data combines simulated water balance model runoff estimates derived from climate forcing with monitored river discharge. It can be viewed as a data assimilation applied in a water balance model context (conceptually similar to the commonly used 4DDA techniques used in meteorological modeling). Such a data assimilation scheme preserves the spatial specificity of the water balance calculations while constrained by the more accurate discharge measurement. There are 11 data files in this data set and 1 changemap file which shows the differences between the ISLSCP II land/water mask and the original data set.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ee890854-6771-43aa-be15-d71503e46621","harvest_record_raw":"https://catalog.data.gov/harvest_record/ee890854-6771-43aa-be15-d71503e46621/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/994","keyword":["earth-science-ecological-dynamics-biosphere-ecosystem-functions","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-topography-land-surface-topographic-effects"],"last_harvested_date":"2026-09-09T00:08:23.529241","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ORNL_DAAC","slug":"islscp-ii-unh-grdc-composite-monthly-runoff","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"ISLSCP II UNH/GRDC Composite Monthly Runoff","type":"dataset"},{"_score":7.9672294,"_sort":[1788912502133,7.9672294,1,"555e1a5c-631a-4266-8538-a29ebdce1d5b"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX dataset consists of snow depth, bare earth surface, land surface classification and a Red, Green, Blue (RGB) composite  image, provided at 3 m spatial resolution during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by a Riegl Q1560 scanning LiDAR and an ITRES CASI-1500 imaging spectrometer , both part of the NASA Airborne Snow Observatory (ASO), during two separate periods, February 8-9, 2016 and March 29-30, 2016.  A previous September 2014 flight was used to obtain no-snow measurements used for deriving snow depth. The data are provided in GeoTIFF format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979129209-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/OLYMPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://olympex.atmos.washington.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1016/j.rse.2016.06.018","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JHM-D-17-0076.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1109/TGRS.2006.890412","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1175/BAMS-D-16-0182.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmasoolyx__1/docs/gpmasoolyx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/olympex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979129209-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/OLYMPEX/LIDAR/DATA101","keyword":["earth-science-cryospheric-indicators-climate-indicators-snow-depth","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-topography-land-surface-terrain-elevation","earth-science-visible-wavelengths-spectral-engineering-visible-imagery"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.185, \"NorthBoundingCoordinate\": 48.0909, \"EastBoundingCoordinate\": -123.129, \"SouthBoundingCoordinate\": 47.493}]]","temporal":"2014-09-04/2016-03-30","theme":["Earth Science"],"title":"GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX V1"},"description":"The GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX dataset consists of snow depth, bare earth surface, land surface classification and a Red, Green, Blue (RGB) composite  image, provided at 3 m spatial resolution during the GPM Ground Validation Olympic Mountains Experiment (OLYMPEX) field campaign held in the Pacific Northwest. These data were collected by a Riegl Q1560 scanning LiDAR and an ITRES CASI-1500 imaging spectrometer , both part of the NASA Airborne Snow Observatory (ASO), during two separate periods, February 8-9, 2016 and March 29-30, 2016.  A previous September 2014 flight was used to obtain no-snow measurements used for deriving snow depth. The data are provided in GeoTIFF format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/76df38ed-42d4-4be7-82b2-ef0d036c0d96","harvest_record_raw":"https://catalog.data.gov/harvest_record/76df38ed-42d4-4be7-82b2-ef0d036c0d96/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/OLYMPEX/LIDAR/DATA101","keyword":["earth-science-cryospheric-indicators-climate-indicators-snow-depth","earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification","earth-science-topography-land-surface-terrain-elevation","earth-science-visible-wavelengths-spectral-engineering-visible-imagery"],"last_harvested_date":"2026-09-09T00:08:22.133712","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-airborne-snow-observatory-aso-olympex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Airborne Snow Observatory (ASO) OLYMPEX V1","type":"dataset"},{"_score":13.343119,"_sort":[1788912498812,13.343119,1,"8e35d43d-30a6-4a25-8cd1-0aec49e6ac12"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation CAX1 Radar CFradial format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and Signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada to support the OLYMPEX field campaign. These data are available in Cfradial netCDF-4 format from November 14, 2015 through April 1, 2016.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1981360835-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/OLYMPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://olympex.atmos.washington.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ams.confex.com/ams/17Mountain/webprogram/Paper296448.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1175/BAMS-D-16-0182.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmcax1cfolyx__1/docs/gpmcax1cfolyx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/olympex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1981360835-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/OLYMPEX/XBAND/DATA301","keyword":["earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.376, \"NorthBoundingCoordinate\": 49.2854, \"EastBoundingCoordinate\": -122.58, \"SouthBoundingCoordinate\": 47.4888}]]","temporal":"2015-11-14/2016-04-01","theme":["Earth Science"],"title":"GPM Ground Validation CAX1 Radar CFradial format OLYMPEX V1"},"description":"The GPM Ground Validation CAX1 Radar CFradial format OLYMPEX dataset consists of radar parameters, such as Radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and Signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM Ground Validation OLYMPEX field campaign by the SELEX Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada to support the OLYMPEX field campaign. These data are available in Cfradial netCDF-4 format from November 14, 2015 through April 1, 2016.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/00e667e8-d391-49e7-95cc-b6ecf1ed4f8f","harvest_record_raw":"https://catalog.data.gov/harvest_record/00e667e8-d391-49e7-95cc-b6ecf1ed4f8f/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/OLYMPEX/XBAND/DATA301","keyword":["earth-science-radar-spectral-engineering-doppler-velocity","earth-science-radar-spectral-engineering-radar-reflectivity","earth-science-radar-spectral-engineering-spectrum-width"],"last_harvested_date":"2026-09-09T00:08:18.812461","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-cax1-radar-cfradial-format-olympex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation CAX1 Radar CFradial format OLYMPEX V1","type":"dataset"},{"_score":6.2706575,"_sort":[1788912496299,6.2706575,1,"cf2d6699-7ec6-48d3-90b7-4d2b0871ba8a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP dataset consists of surface meteorological data collected at the Environment Canada (EC) XET station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The XET C3VP dataset file includes temperature, pressure, wind speed and direction, relative humidity, solar radiation, grass temperature, soil temperature, snow depth, sunshine, and precipitation measurements from October 4, 2006 through March 31, 2007 in ASCII-csv format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1998274501-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmxetc3vp__1/docs/RCSdataloggeroutputs_v2.003jun24.xls","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmxetc3vp__1/docs/gpmxetc3vp_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://gpm.nasa.gov/science/ground-validation/C3VP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1998274501-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.ec.gc.ca/rs-mn/default.asp?lang=En&n=F382596F-1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.ocean-ops.org/dbcp/doc/AES_Canada_Guide20.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.5067/GPMGV/C3VP/METSTATION/DATA201","keyword":["earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-radiation-atmosphere-sunshine","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-cryospheric-indicators-climate-indicators-snow-depth","earth-science-precipitation-atmosphere-atmospheric-precipitation-indices","earth-science-soils-agriculture-soil-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -79.79, \"NorthBoundingCoordinate\": 44.24, \"EastBoundingCoordinate\": -79.77, \"SouthBoundingCoordinate\": 44.22}]]","temporal":"2006-10-04/2007-03-31","theme":["Earth Science"],"title":"GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP V1"},"description":"The GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP dataset consists of surface meteorological data collected at the Environment Canada (EC) XET station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The XET C3VP dataset file includes temperature, pressure, wind speed and direction, relative humidity, solar radiation, grass temperature, soil temperature, snow depth, sunshine, and precipitation measurements from October 4, 2006 through March 31, 2007 in ASCII-csv format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/00d56055-13f1-4959-80e4-b141be741e83","harvest_record_raw":"https://catalog.data.gov/harvest_record/00d56055-13f1-4959-80e4-b141be741e83/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/C3VP/METSTATION/DATA201","keyword":["earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-solar-radiation","earth-science-atmospheric-radiation-atmosphere-sunshine","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-cryospheric-indicators-climate-indicators-snow-depth","earth-science-precipitation-atmosphere-atmospheric-precipitation-indices","earth-science-soils-agriculture-soil-temperature"],"last_harvested_date":"2026-09-09T00:08:16.299909","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-environment-canada-ec-weather-station-xet-c3vp-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Environment Canada (EC) Weather Station XET C3VP V1","type":"dataset"},{"_score":13.342589,"_sort":[1788912495565,13.342589,1,"41c6b1aa-8e79-42db-999e-a39a34cd3687"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Flight Summaries and Flight Tracks Imagery MC3E dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides processed summaries from the University of North Dakota including sonde maps, a radar animation, parameter versus time charts, radar track graphs, and a summary including aircraft and instrument operational times. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The Flight Tracks imagery includes one animation for May 11, 2011 and the KICT 5 minute snapshots from the Real Time Mission Monitor (RTMM). This dataset is distributed with the MC3E ER-2 Navigation and the Citation Navigation datasets.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979141270-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmfltsummc3e__1/docs/gpmfltsummc3e_dataset.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979141270-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/FLIGHT/DATA201","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-radar-spectral-engineering-radar-imagery"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -121, \"NorthBoundingCoordinate\": 43, \"EastBoundingCoordinate\": -91, \"SouthBoundingCoordinate\": 28}]]","temporal":"2011-04-25/2011-06-02","theme":["Earth Science"],"title":"GPM GROUND VALIDATION FLIGHT SUMMARIES AND FLIGHT TRACKS IMAGERY MC3E V1"},"description":"The GPM Ground Validation Flight Summaries and Flight Tracks Imagery MC3E dataset for the Midlatitude Continental Convective Clouds Experiment (MC3E) provides processed summaries from the University of North Dakota including sonde maps, a radar animation, parameter versus time charts, radar track graphs, and a summary including aircraft and instrument operational times. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The Flight Tracks imagery includes one animation for May 11, 2011 and the KICT 5 minute snapshots from the Real Time Mission Monitor (RTMM). This dataset is distributed with the MC3E ER-2 Navigation and the Citation Navigation datasets.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c88b0725-825e-4233-a53d-82f557952084","harvest_record_raw":"https://catalog.data.gov/harvest_record/c88b0725-825e-4233-a53d-82f557952084/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/FLIGHT/DATA201","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-radar-spectral-engineering-radar-imagery"],"last_harvested_date":"2026-09-09T00:08:15.565565","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-flight-summaries-and-flight-tracks-imagery-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION FLIGHT SUMMARIES AND FLIGHT TRACKS IMAGERY MC3E V1","type":"dataset"},{"_score":9.073952,"_sort":[1788912488367,9.073952,1,"c93e6cb9-2406-4752-a565-a45027fbeafc"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Mission Reports GCPEx dataset consists of various reports filed by the scientists during the GPM Cold-season Precipitation Experiment (GCPEx) campaign which took place from January 15 - February 29, 2012 in Ontario, Canada; however, this dataset spans from September 4, 2011 to May 11, 2012. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinating model simulations of precipitating snow.  Report categories include the Mission Scientist, Mission Manager, Instrument Scientists, Weather Forecasts and Plan of Day. Many reports have additional information attached.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979621014-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/GCPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmmisrepgcpex__1/docs/GCPEX_CaseSummaryTable.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmmisrepgcpex__1/docs/gpmmisrepgcpex_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/gcpex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979621014-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/GCPEX/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -80.7563, \"NorthBoundingCoordinate\": 46.9027, \"EastBoundingCoordinate\": -67.7583, \"SouthBoundingCoordinate\": 42.7243}]]","temporal":"2011-09-06/2012-05-11","theme":["Earth Science"],"title":"GPM GROUND VALIDATION MISSION REPORTS GCPEX V1"},"description":"The GPM Ground Validation Mission Reports GCPEx dataset consists of various reports filed by the scientists during the GPM Cold-season Precipitation Experiment (GCPEx) campaign which took place from January 15 - February 29, 2012 in Ontario, Canada; however, this dataset spans from September 4, 2011 to May 11, 2012. GCPEx addressed shortcomings in GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinating model simulations of precipitating snow.  Report categories include the Mission Scientist, Mission Manager, Instrument Scientists, Weather Forecasts and Plan of Day. Many reports have additional information attached.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/9af99ec5-acba-4a59-867b-959c0c6654c0","harvest_record_raw":"https://catalog.data.gov/harvest_record/9af99ec5-acba-4a59-867b-959c0c6654c0/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/GCPEX/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:08:08.367404","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-mission-reports-gcpex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION MISSION REPORTS GCPEX V1","type":"dataset"},{"_score":8.848328,"_sort":[1788912479377,8.848328,2,"c157ab92-fe42-40dc-92e0-b472de32b0f9"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Snow Depth Monitoring System OLYMPEX dataset consists of snow depth, temperature, and relative humidity measurements which were collected using snow depth poles, time lapse cameras, temperature/relative humidity sensors, and manual snow surveys.  This dataset was collected during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. The analyzed data files are available in netCDF-3 data format.  The dataset includes the individual camera photos of snow poles taken hourly during the field campaign, provided as JPG images.  There are up to 3 cameras/poles per study site location.  In addition, a Microsoft Excel data file contains results of a manual snow survey taken on the specific days of the Airborne Snow Observatory OLYMPEX overflights.  In total, measurements contained in this dataset extend from September 5, 2014 through August 20, 2016, but the primary field campaign data were collected during the fall 2015 to spring 2016 time period.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979732987-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/OLYMPEX/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://olympex.atmos.washington.edu/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://digital.lib.washington.edu/researchworks/handle/1773/38604","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1029/2008WR006979","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/JHM-D-17-0026.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://dx.doi.org/10.1175/BAMS-D-16-0182.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmsnowolyx__1/docs/gpmsnowolyx_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/olympex","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979732987-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/OLYMPEX/SNOWTUBE/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-cryospheric-indicators-climate-indicators-snow-depth"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -123.707, \"NorthBoundingCoordinate\": 47.8224, \"EastBoundingCoordinate\": -123.033, \"SouthBoundingCoordinate\": 47.5008}]]","temporal":"2014-09-05/2016-07-26","theme":["Earth Science"],"title":"GPM Ground Validation Snow Depth Monitoring System OLYMPEX V1"},"description":"The GPM Ground Validation Snow Depth Monitoring System OLYMPEX dataset consists of snow depth, temperature, and relative humidity measurements which were collected using snow depth poles, time lapse cameras, temperature/relative humidity sensors, and manual snow surveys.  This dataset was collected during the GPM Ground Validation Olympic Mountain Experiment (OLYMPEX) held on the Olympic Peninsula in the Pacific Northwest of the United States. The analyzed data files are available in netCDF-3 data format.  The dataset includes the individual camera photos of snow poles taken hourly during the field campaign, provided as JPG images.  There are up to 3 cameras/poles per study site location.  In addition, a Microsoft Excel data file contains results of a manual snow survey taken on the specific days of the Airborne Snow Observatory OLYMPEX overflights.  In total, measurements contained in this dataset extend from September 5, 2014 through August 20, 2016, but the primary field campaign data were collected during the fall 2015 to spring 2016 time period.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/025db82d-9bba-461d-816a-d63bf128f04e","harvest_record_raw":"https://catalog.data.gov/harvest_record/025db82d-9bba-461d-816a-d63bf128f04e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/OLYMPEX/SNOWTUBE/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-cryospheric-indicators-climate-indicators-snow-depth"],"last_harvested_date":"2026-09-09T00:07:59.377942","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-snow-depth-monitoring-system-olympex-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Snow Depth Monitoring System OLYMPEX V1","type":"dataset"},{"_score":13.928398,"_sort":[1788912478676,13.928398,2,"f4a75629-f203-4897-bca9-6dd403b4b941"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Environment Canada (EC) Surface Meteorological Station C3VP dataset consists of meteorological data collected at the Environment Canada (EC) climate station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV EC Surface Meteorological Station C3VP data include surface temperature and precipitation data available from November 1, 2005 through March 31, 2007 in Microsoft Excel format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2003136676-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmsurmetc3vp__1/docs/MetadataSupplement.rtf","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpmsurmetc3vp__1/docs/gpmsurmetc3vp_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://gpm.nasa.gov/science/ground-validation/C3VP","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2003136676-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.ec.gc.ca/rs-mn/default.asp?lang=En&n=F382596F-1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.ocean-ops.org/dbcp/doc/AES_Canada_Guide20.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.5067/GPMGV/C3VP/METSTATION/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-precipitation-atmosphere-liquid-precipitation"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -79.87, \"NorthBoundingCoordinate\": 44.33, \"EastBoundingCoordinate\": -79.67, \"SouthBoundingCoordinate\": 44.13}]]","temporal":"2005-11-01/2007-03-31","theme":["Earth Science"],"title":"GPM Ground Validation Surface Meteorological Station C3VP V1"},"description":"The GPM Ground Validation Environment Canada (EC) Surface Meteorological Station C3VP dataset consists of meteorological data collected at the Environment Canada (EC) climate station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV EC Surface Meteorological Station C3VP data include surface temperature and precipitation data available from November 1, 2005 through March 31, 2007 in Microsoft Excel format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/68e1a29c-79ac-44d2-bffa-b0dcfe9fda11","harvest_record_raw":"https://catalog.data.gov/harvest_record/68e1a29c-79ac-44d2-bffa-b0dcfe9fda11/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/C3VP/METSTATION/DATA101","keyword":["earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-precipitation-atmosphere-liquid-precipitation"],"last_harvested_date":"2026-09-09T00:07:58.676225","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-surface-meteorological-station-c3vp-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM Ground Validation Surface Meteorological Station C3VP V1","type":"dataset"},{"_score":11.557396,"_sort":[1788912476157,11.557396,2,"43e970ca-9139-4b41-a07d-b397ba5af742"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) MC3E dataset was collected during the  Midlatitude Continental Convective Clouds Experiment (MC3E), which provides data on raindrop size and precipitation drop size distribution. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979123780-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GPMGV/MC3E/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"http://pmm.nasa.gov/GPM","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpm2dmc3e__1/docs/DataFormat_2dvd_mc3e.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/gpm2dmc3e__1/docs/gpm_2dvd.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/mc3e","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/micro-articles/instrument-2dvd-disdrometer","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979123780-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GPMGV/MC3E/2DVD/DATA301","keyword":["earth-science-precipitation-atmosphere-droplet-size","earth-science-precipitation-atmosphere-hydrometeors","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -97.5323, \"NorthBoundingCoordinate\": 36.6334, \"EastBoundingCoordinate\": -97.4447, \"SouthBoundingCoordinate\": 36.5784}]]","temporal":"2011-04-21/2011-06-06","theme":["Earth Science"],"title":"GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) MC3E V1"},"description":"The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) MC3E dataset was collected during the  Midlatitude Continental Convective Clouds Experiment (MC3E), which provides data on raindrop size and precipitation drop size distribution. The MC3E took place in central Oklahoma during the April-June 2011 period. The experiment was a collaborative effort between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. The field campaign leveraged the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors, and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/0caa6188-0f87-4056-af19-c9280519976e","harvest_record_raw":"https://catalog.data.gov/harvest_record/0caa6188-0f87-4056-af19-c9280519976e/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GPMGV/MC3E/2DVD/DATA301","keyword":["earth-science-precipitation-atmosphere-droplet-size","earth-science-precipitation-atmosphere-hydrometeors","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate"],"last_harvested_date":"2026-09-09T00:07:56.157550","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/MSFC/GHRC","slug":"gpm-ground-validation-two-dimensional-video-disdrometer-2dvd-mc3e-v1","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) MC3E V1","type":"dataset"},{"_score":14.0816965,"_sort":[1788912465712,14.0816965,4,"8d5db2f0-7454-48b9-9232-18c22797c04d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The NCAR LSM 1.0 is a land surface model developed by Gordon Bonan to examine biogeophysical and biogeochemical land-atmosphere interactions, especially the effects of land surfaces on climate and atmospheric chemistry. It can be run coupled to an atmospheric model or uncoupled, in a stand-alone mode, if an atmospheric forcing is provided. The model runs on a spatial grid that can range from one point to global. The model was designed for coupling to atmospheric numerical models. Consequently, there is a compromise between computational efficiency and the complexity with which the necessary atmospheric, ecological, and hydrologic processes are parameterized. The model is not meant to be a detailed micrometeorological model, but rather a simplified treatment of surface fluxes that reproduces at minimal computational cost the essential characteristics of land-atmosphere interactions important for climate simulations. The model is a complete executable code with its own time-stepping driver, initialization (subroutine lsmini), and main calling routine (subroutine lsmdrv). When coupled to an atmospheric model, the atmospheric model is the time-stepping driver. There is one call to subroutine lsmini during initialization to initialize all land points in the domain; there is one call per time step to subroutine lsmdrv to calculate surface fluxes and update the ecological, hydrological, and thermal state for all land points in the domain. The model writes its own restart and history files. These can be turned off if appropriate.Available for downloading from the ORNL DAAC are the LMS Model Documentation and User's Guide (ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Users_Guide.pdf ), the model source code, input data set, and scripts for running the model.  Applications of the model are described in two additional companion files (ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Bckgrnd_Application_Info.pdf and  ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Analyzed-Data.pdf.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2956539244-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/model-archive_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/LSM_807.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/model_archive/LSM/comp/LSM_guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/model_archive/LSM/comp/NCAR_LSM_Analyzed-Data.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/model_archive/LSM/comp/NCAR_LSM_Bckgrnd_Application_Info.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/model_archive/LSM/comp/NCAR_LSM_Users_Guide.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/807","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2956539244-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/807","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-radiation-atmosphere-heat-flux","earth-science-ecological-dynamics-biosphere-community-dynamics","earth-science-soils-land-surface-soil-moisture-water-content","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-thermal-properties-land-surface-land-surface-temperature","earth-science-vegetation-biosphere-forest-composition-vegetation-structure"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]","temporal":"1996-01-15/1996-01-15","theme":["Earth Science"],"title":"Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies"},"description":"The NCAR LSM 1.0 is a land surface model developed by Gordon Bonan to examine biogeophysical and biogeochemical land-atmosphere interactions, especially the effects of land surfaces on climate and atmospheric chemistry. It can be run coupled to an atmospheric model or uncoupled, in a stand-alone mode, if an atmospheric forcing is provided. The model runs on a spatial grid that can range from one point to global. The model was designed for coupling to atmospheric numerical models. Consequently, there is a compromise between computational efficiency and the complexity with which the necessary atmospheric, ecological, and hydrologic processes are parameterized. The model is not meant to be a detailed micrometeorological model, but rather a simplified treatment of surface fluxes that reproduces at minimal computational cost the essential characteristics of land-atmosphere interactions important for climate simulations. The model is a complete executable code with its own time-stepping driver, initialization (subroutine lsmini), and main calling routine (subroutine lsmdrv). When coupled to an atmospheric model, the atmospheric model is the time-stepping driver. There is one call to subroutine lsmini during initialization to initialize all land points in the domain; there is one call per time step to subroutine lsmdrv to calculate surface fluxes and update the ecological, hydrological, and thermal state for all land points in the domain. The model writes its own restart and history files. These can be turned off if appropriate.Available for downloading from the ORNL DAAC are the LMS Model Documentation and User's Guide (ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Users_Guide.pdf ), the model source code, input data set, and scripts for running the model.  Applications of the model are described in two additional companion files (ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Bckgrnd_Application_Info.pdf and  ftp://daac.ornl.gov/data/model_archive/LSM/lsm_1.0/comp/NCAR_LSM_Analyzed-Data.pdf.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/90c4e872-3796-4f26-91c1-790cf725ce04","harvest_record_raw":"https://catalog.data.gov/harvest_record/90c4e872-3796-4f26-91c1-790cf725ce04/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/807","keyword":["earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-radiation-atmosphere-heat-flux","earth-science-ecological-dynamics-biosphere-community-dynamics","earth-science-soils-land-surface-soil-moisture-water-content","earth-science-surface-radiative-properties-land-surface-albedo","earth-science-surface-thermal-properties-land-surface-land-surface-temperature","earth-science-vegetation-biosphere-forest-composition-vegetation-structure"],"last_harvested_date":"2026-09-09T00:07:45.712272","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"ORNL_DAAC","slug":"land-surface-model-lsm-1-0-for-ecological-hydrological-atmospheric-studies","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Land Surface Model (LSM 1.0) for Ecological, Hydrological, Atmospheric Studies","type":"dataset"},{"_score":9.766905,"_sort":[1788912462087,9.766905,3,"df6b0561-86f6-4363-8d47-1442eaaec43a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10\u00b0 N to 25\u00b0 S, 30\u00b0 to 85\u00b0 W). The data are in ASCII GRID format.\r\n\r\nThe global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.\r\n\r\nMore information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.\r\n\r\nLBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2777324266-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/sdat-tds/674_1_fit.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/soller_wetlands_674.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/soller_wetlands/comp/README","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/674","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2777324266-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/674","keyword":["earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-surface-water-terrestrial-hydrosphere-surface-water-features"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -85.0, \"NorthBoundingCoordinate\": 5.0, \"EastBoundingCoordinate\": -30.0, \"SouthBoundingCoordinate\": -25.0}]]","temporal":"1995-01-01/1995-09-01","theme":["Earth Science"],"title":"LBA Regional Freshwater Wetlands, 1-Degree (Stillwell-Soller et al.)"},"description":"This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10\u00b0 N to 25\u00b0 S, 30\u00b0 to 85\u00b0 W). The data are in ASCII GRID format.\r\n\r\nThe global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values.\r\n\r\nMore information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf.\r\n\r\nLBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/632d924a-e0fd-4627-add3-50d141b65e9e","harvest_record_raw":"https://catalog.data.gov/harvest_record/632d924a-e0fd-4627-add3-50d141b65e9e/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/674","keyword":["earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-surface-water-terrestrial-hydrosphere-surface-water-features"],"last_harvested_date":"2026-09-09T00:07:42.087573","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"ORNL_DAAC","slug":"lba-regional-freshwater-wetlands-1-degree-stillwell-soller-et-al","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"LBA Regional Freshwater Wetlands, 1-Degree (Stillwell-Soller et al.)","type":"dataset"},{"_score":8.849808,"_sort":[1788912456337,8.849808,1,"33351c81-fb9b-498f-bda5-2304ec0255b5"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set reports soil moisture expressed as volumetric water content (VWC), daily precipitation, air temperature, relative humidity, and dew point measurements conducted at the Seca Floresta site, km 67, Tapajos National Forest, Brazil. The measurements were part of the Rainfall Exclusion Experiment (REE) established to study the response of a humid Amazonian forest to severe drought.\r\n\r\nVWC was measured with continuous high-resolution frequency-domain reflectometry to 11-m depth in two 1-ha plots from 1999 to 2007. One plot was subjected to ~75 percent throughfall exclusion during the rainy season (exclusion) and another monitored under normal conditions (control).\r\n \r\nDaily precipitation was measured in the control plot and in a nearby clearing between 1999 and 2006 using wedge rain gauges. \r\n\r\nAir temperature, relative humidity, and dew point were measured along the vertical forest profile of the control and dry plots of the site between 2000 and 2003.\r\n\r\nThere are three comma-delimited data files (.csv) with this data set.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2781551326-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/lba_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/CD05_Micromet_1169.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/carbon_dynamics/CD05_Micromet/comp/CD05_Micromet.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1169","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2781551326-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1169","keyword":["earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-precipitation-atmosphere-precipitation-amount"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -55.0, \"NorthBoundingCoordinate\": -2.75, \"EastBoundingCoordinate\": -55.0, \"SouthBoundingCoordinate\": -2.75}]]","temporal":"1999-01-01/2007-04-20","theme":["Earth Science"],"title":"LBA-ECO CD-05 Soil VWC and Meteorology, Rainfall Exclusion, Tapajos National Forest"},"description":"This data set reports soil moisture expressed as volumetric water content (VWC), daily precipitation, air temperature, relative humidity, and dew point measurements conducted at the Seca Floresta site, km 67, Tapajos National Forest, Brazil. The measurements were part of the Rainfall Exclusion Experiment (REE) established to study the response of a humid Amazonian forest to severe drought.\r\n\r\nVWC was measured with continuous high-resolution frequency-domain reflectometry to 11-m depth in two 1-ha plots from 1999 to 2007. One plot was subjected to ~75 percent throughfall exclusion during the rainy season (exclusion) and another monitored under normal conditions (control).\r\n \r\nDaily precipitation was measured in the control plot and in a nearby clearing between 1999 and 2006 using wedge rain gauges. \r\n\r\nAir temperature, relative humidity, and dew point were measured along the vertical forest profile of the control and dry plots of the site between 2000 and 2003.\r\n\r\nThere are three comma-delimited data files (.csv) with this data set.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/34ad6c92-58ca-42a7-93a2-40a62b11090e","harvest_record_raw":"https://catalog.data.gov/harvest_record/34ad6c92-58ca-42a7-93a2-40a62b11090e/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1169","keyword":["earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture","earth-science-precipitation-atmosphere-precipitation-amount"],"last_harvested_date":"2026-09-09T00:07:36.337661","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"lba-eco-cd-05-soil-vwc-and-meteorology-rainfall-exclusion-tapajos-national-forest","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"LBA-ECO CD-05 Soil VWC and Meteorology, Rainfall Exclusion, Tapajos National Forest","type":"dataset"},{"_score":13.799613,"_sort":[1788912446774,13.799613,1,"0959e844-3c0d-42b1-ac85-aa47ef915dee"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces of Sucumbios and Napo/Orellana, in the northern Ecuadorian Amazon colonist settlements (Oriente) in 1999 (Pan and Bilsborrow, 2005). In addition, perception of, and opinions about local climate, soil quality, and environmental contamination were assessed for both the male and female heads of household. There are two comma-delimited (csv) ASCII data files. One file provides summary data from male respondents; the other data file provides summary responses from the female household survey (generally the spousal respondent). The original questionnaire forms are included as companion files (PDF format).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2779740390-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/graphics/browse/project/square/lba_logo_square.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/LC01_Households_NEC_1052.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/LC01_Households_NEC/comp/Female_head_household_survey_form.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/LC01_Households_NEC/comp/LC01_Households_NEC.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/lba/land_use_land_cover_change/LC01_Households_NEC/comp/Male_head_household_survey_form.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1052","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2779740390-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1052","keyword":["earth-science-social-behavior-human-dimensions-consumer-behavior"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -77.0, \"NorthBoundingCoordinate\": -0.5, \"EastBoundingCoordinate\": -77.0, \"SouthBoundingCoordinate\": -0.5}]]","temporal":"1999-01-01/1999-12-31","theme":["Earth Science"],"title":"LBA-ECO LC-01 Northern Ecuadorian Amazon Household Surveys, Summary Results: 1999"},"description":"This data set reports summary statistics from socioeconomic and demographic surveys administered to the male and female heads of household on 767 farm plots. The surveys were performed in the provinces of Sucumbios and Napo/Orellana, in the northern Ecuadorian Amazon colonist settlements (Oriente) in 1999 (Pan and Bilsborrow, 2005). In addition, perception of, and opinions about local climate, soil quality, and environmental contamination were assessed for both the male and female heads of household. There are two comma-delimited (csv) ASCII data files. One file provides summary data from male respondents; the other data file provides summary responses from the female household survey (generally the spousal respondent). The original questionnaire forms are included as companion files (PDF format).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a1671256-ca8c-4774-b498-48f63a821f52","harvest_record_raw":"https://catalog.data.gov/harvest_record/a1671256-ca8c-4774-b498-48f63a821f52/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1052","keyword":["earth-science-social-behavior-human-dimensions-consumer-behavior"],"last_harvested_date":"2026-09-09T00:07:26.774514","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"lba-eco-lc-01-northern-ecuadorian-amazon-household-surveys-summary-results-1999","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"LBA-ECO LC-01 Northern Ecuadorian Amazon Household Surveys, Summary Results: 1999","type":"dataset"},{"_score":13.636929,"_sort":[1788912425920,13.636929,1,"48710c31-6666-4160-b21f-0978a0a0bd50"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"This dataset provides mapped tidal wetland gross primary production (GPP) estimates (g C/m2/day) derived from multiple wetland types at 250-m resolution across the conterminous United States at 16-day intervals from March 5, 2000, through November 17, 2019. GPP was derived with the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower GPP data into a single Bayesian framework along with Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets. Tidal wetlands are a critical component of global climate regulation. Tidal wetland-based carbon, or \"blue carbon,\" is a valued resource that is increasingly important for restoration and conservation purposes.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2389119490-ORNL_CLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://daac.ornl.gov/CMS/guides/Tidal_Wetland_GPP_CONUS_Fig1.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/protected/bundle/Tidal_Wetland_GPP_CONUS_1792.zip","format":"ZIP","mediaType":"application/zip"},{"@type":"dcat:Distribution","downloadURL":"https://data.ornldaac.earthdata.nasa.gov/public/cms/Tidal_Wetland_GPP_CONUS/comp/Tidal_Wetland_GPP_CONUS.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.3334/ORNLDAAC/1792","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2389119490-ORNL_CLOUD","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.3334/ORNLDAAC/1792","keyword":["earth-science-coastal-processes-oceans-intertidal-zone","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-marine-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-soil-productivity"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ORNL_DAAC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -128.026, \"NorthBoundingCoordinate\": 47.6967, \"EastBoundingCoordinate\": -65.9019, \"SouthBoundingCoordinate\": 23.5017}]]","temporal":"2000-03-05/2019-11-17","theme":["Earth Science"],"title":"Gross Primary Production Maps of Tidal Wetlands across Conterminous USA, 2000-2019"},"description":"This dataset provides mapped tidal wetland gross primary production (GPP) estimates (g C/m2/day) derived from multiple wetland types at 250-m resolution across the conterminous United States at 16-day intervals from March 5, 2000, through November 17, 2019. GPP was derived with the spatially explicit Blue Carbon (BC) model, which combined tidal wetland cover and field-based eddy covariance (EC) tower GPP data into a single Bayesian framework along with Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) datasets. Tidal wetlands are a critical component of global climate regulation. Tidal wetland-based carbon, or \"blue carbon,\" is a valued resource that is increasingly important for restoration and conservation purposes.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7c070af9-ac9f-41ba-9e3d-efd9670c92b0","harvest_record_raw":"https://catalog.data.gov/harvest_record/7c070af9-ac9f-41ba-9e3d-efd9670c92b0/raw","has_download":true,"has_spatial":true,"identifier":"10.3334/ORNLDAAC/1792","keyword":["earth-science-coastal-processes-oceans-intertidal-zone","earth-science-ecosystems-biosphere-aquatic-ecosystems","earth-science-ecosystems-biosphere-marine-ecosystems","earth-science-ecosystems-biosphere-terrestrial-ecosystems","earth-science-soils-land-surface-soil-productivity"],"last_harvested_date":"2026-09-09T00:07:05.920091","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ORNL_DAAC","slug":"gross-primary-production-maps-of-tidal-wetlands-across-conterminous-usa-2000-2019","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Gross Primary Production Maps of Tidal Wetlands across Conterminous USA, 2000-2019","type":"dataset"},{"_score":8.297756,"_sort":[1788912396496,8.297756,1,"7589a56b-0cfe-4089-9226-5ac1dc0eff89"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRX2SUP contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML2CCPRETN contains CRIMSS data processed with an analogous algorithm.  A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1633993908-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/SNDRSNIML2CHTRETN_1.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRSNIML2CHTRETN_01.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART.CLIMCAPS.v1.L2.README.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART_V1.ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1633993908-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/data/limited_editions/SNPP_CHART/SNDRSNIML2CHTRETN.1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/opendap/limited_editions/SNPP_CHART/SNDRSNIML2CHTRETN.1/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/6U9XTLE2XOTA","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"GEODETIC\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2013-01-01/2015-11-01","theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 2 CHART Normal Spectral Resolution: Atmosphere, cloud and surface geophysical state V1"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRX2SUP contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML2CCPRETN contains CRIMSS data processed with an analogous algorithm.  A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c01c3dce-47d8-45b6-b87f-7c9440b997b3","harvest_record_raw":"https://catalog.data.gov/harvest_record/c01c3dce-47d8-45b6-b87f-7c9440b997b3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/6U9XTLE2XOTA","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"last_harvested_date":"2026-09-09T00:06:36.496186","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"sounder-sips-suomi-npp-crimss-level-2-chart-normal-spectral-resolution-atmosphere-cloud-an","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 2 CHART Normal Spectral Resolution: Atmosphere, cloud and surface geophysical state V1","type":"dataset"},{"_score":7.717333,"_sort":[1788912395806,7.717333,3,"9916a5cf-b5ce-45e3-b88d-308b48174ef0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. \n\nCloud clearing is the process of computing the clear column radiance for a given channel n, and represents what the channel would have observed if the entire scene were cloud free. The entire scene is defined as the ATMS field of regard (FOR) which includes and array of 3x3 CrIS field of views (FOV). The basic assumption of cloud-clearing is that if the observed radiances in each field-of-view are different, the differences in the observed radiances are solely attributed to the differences in the fractional cloudiness in each field of view while everything else (surface properties and atmospheric state) is uniform across the field of regard.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRI2CCR contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML2CCPCCRN contains CRIMSS data processed with an analogous algorithm. A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1633993911-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/SNDRSNIML2CHTCCRN_1.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRSNIML2CHTCCRN_01.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART.CLIMCAPS.v1.L2.README.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART_V1.ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1633993911-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/data/limited_editions/SNPP_CHART/SNDRSNIML2CHTCCRN.1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/opendap/limited_editions/SNPP_CHART/SNDRSNIML2CHTCCRN.1/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/9EJ3W4OBG0E6","keyword":["earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-microwave-spectral-engineering-brightness-temperature","earth-science-microwave-spectral-engineering-microwave-radiance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"GEODETIC\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2013-01-01/2015-11-01","theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 2 CHART Normal Spectral Resolution: Cloud Cleared Radiances V1"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. \n\nCloud clearing is the process of computing the clear column radiance for a given channel n, and represents what the channel would have observed if the entire scene were cloud free. The entire scene is defined as the ATMS field of regard (FOR) which includes and array of 3x3 CrIS field of views (FOV). The basic assumption of cloud-clearing is that if the observed radiances in each field-of-view are different, the differences in the observed radiances are solely attributed to the differences in the fractional cloudiness in each field of view while everything else (surface properties and atmospheric state) is uniform across the field of regard.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRI2CCR contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML2CCPCCRN contains CRIMSS data processed with an analogous algorithm. A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/3cb1c259-c936-4fdf-9a15-7e1f57c06fbf","harvest_record_raw":"https://catalog.data.gov/harvest_record/3cb1c259-c936-4fdf-9a15-7e1f57c06fbf/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/9EJ3W4OBG0E6","keyword":["earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature","earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance","earth-science-microwave-spectral-engineering-brightness-temperature","earth-science-microwave-spectral-engineering-microwave-radiance"],"last_harvested_date":"2026-09-09T00:06:35.806618","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"sounder-sips-suomi-npp-crimss-level-2-chart-normal-spectral-resolution-cloud-cleared-radia","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 2 CHART Normal Spectral Resolution: Cloud Cleared Radiances V1","type":"dataset"},{"_score":8.237444,"_sort":[1788912395102,8.237444,3,"015f60de-1b45-47e3-bf37-02b2a33bbc20"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\nThis daily one degree latitude by one degree longitude level-3 product starts with level-2 retrieval products applying the comprehensive quality control (QC) methodology. Comprehensive QC accepts a retrieval if the profile is good to the surface and ensures consistent analysis across all levels and variables. \n \nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection with the TqJ suffix (TqJoint) from AIRX3SPD contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML3CDCCPN contains CRIMSS data processed with an analogous algorithm.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1633993917-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/SNDRSNIML3CDCHTN_1.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRSNIML3CDCHTN_01.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART.CLIMCAPS.v1.L3.README.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART_V1.ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1633993917-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/data/limited_editions/SNPP_CHART/SNDRSNIML3CDCHTN.1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/opendap/limited_editions/SNPP_CHART/SNDRSNIML3CDCHTN.1/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/HSYAN76MWPGR","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2013-01-01/2015-11-01","theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 3 Comprehensive Quality Control Gridded Daily CHART Normal Spectral Resolution V1"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\nThis daily one degree latitude by one degree longitude level-3 product starts with level-2 retrieval products applying the comprehensive quality control (QC) methodology. Comprehensive QC accepts a retrieval if the profile is good to the surface and ensures consistent analysis across all levels and variables. \n \nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection with the TqJ suffix (TqJoint) from AIRX3SPD contains similar meteorological information to this CHART data collection and the CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) data collection SNDRSNIML3CDCCPN contains CRIMSS data processed with an analogous algorithm.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/28078357-4585-40cc-b6d1-4dd87bc8af93","harvest_record_raw":"https://catalog.data.gov/harvest_record/28078357-4585-40cc-b6d1-4dd87bc8af93/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/HSYAN76MWPGR","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"last_harvested_date":"2026-09-09T00:06:35.102077","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"sounder-sips-suomi-npp-crimss-level-3-comprehensive-quality-control-gridded-daily-chart-no","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 3 Comprehensive Quality Control Gridded Daily CHART Normal Spectral Resolution V1","type":"dataset"},{"_score":8.207441,"_sort":[1788912394404,8.207441,2,"451a8ade-3ce4-436e-b762-dfad738ede3d"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\n\nThis daily one degree latitude by one degree longitude level-3 product starts with level-2 retrieval products applying profile level specific quality control (QC). Specific QC is defined per retrieved geophysical parameter at a given level within a profile. It accepts profile level data from the top of the atmosphere down to the level where the QC algorithm determines that the retrieval is good. Below this level, the data is rejected. Specific QC is designed to maximize the yield of each variable. This is the same methodology used by the AIRS Version 6 processing system.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRX3SPD contains similar meteorological information to this CHART data collection.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1633993922-GES_DISC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://disc.gsfc.nasa.gov/datacollection/SNDRSNIML3SDCHTN_1.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRSNIML3SDCHTN_01.png","format":"PNG","mediaType":"image/png"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART.CLIMCAPS.v1.L3.README.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://docserver.gesdisc.eosdis.nasa.gov/public/project/SNPP/SNPP_limited_edition/SNPP.CrIMSS.CHART_V1.ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1633993922-GES_DISC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/data/limited_editions/SNPP_CHART/SNDRSNIML3SDCHTN.1/","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sounder.gesdisc.eosdis.nasa.gov/opendap/limited_editions/SNPP_CHART/SNDRSNIML3SDCHTN.1/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/TFW6B4G48YNL","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/GSFC/SED/ESD/TISL/GESDISC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2013-01-01/2015-11-01","theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 3 Specific Quality Control Gridded Daily CHART Normal Spectral Resolution V1"},"description":"The objective of this limited edition data collection is to examine products generated by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm to analyze Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite).  The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Normal Spectral Resolution (NSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 1305 NSR infrared sounding channels covering the longwave (655-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2155-2550 cm-1) spectral regions. The ATMS instrument  is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz.\n \nThe CHART algorithm is uses the  basic cloud clearing and retrieval methodologies used including the definition and derivation of Jacobians, the channel noise covariance matrix, and the use of constraints including the background term, are essentially identical to those of AIRS Version-6.6 and previous AIRS Science Team retrieval algorithms.  As with the Version-6.6 AIRS system, the CHART algorithm uses a Neural Network system as an initial guess. The sounding retrieval methodology characterizes the full atmospheric state and the retrievals contains a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; outgoing longwave radiation (OLR); and an infrared-based precipitation estimate.\n\n\nThis daily one degree latitude by one degree longitude level-3 product starts with level-2 retrieval products applying profile level specific quality control (QC). Specific QC is defined per retrieved geophysical parameter at a given level within a profile. It accepts profile level data from the top of the atmosphere down to the level where the QC algorithm determines that the retrieval is good. Below this level, the data is rejected. Specific QC is designed to maximize the yield of each variable. This is the same methodology used by the AIRS Version 6 processing system.\n\nThe CHART system was designed to serve as a seamless follow on to the Atmospheric Infrared Sounder/Advanced Microwave Sounding Unit (AIRS/AMSU) instrument processing system. For comparison, the AIRS/AMSU data collection AIRX3SPD contains similar meteorological information to this CHART data collection.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/13d3572a-28bf-48cb-b73b-f08372e7b05c","harvest_record_raw":"https://catalog.data.gov/harvest_record/13d3572a-28bf-48cb-b73b-f08372e7b05c/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/TFW6B4G48YNL","keyword":["earth-science-air-quality-atmosphere-tropospheric-ozone","earth-science-altitude-atmosphere-tropopause","earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds","earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds","earth-science-atmospheric-pressure-atmosphere-surface-pressure","earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles","earth-science-clouds-atmosphere-cloud-properties","earth-science-ocean-temperature-oceans-sea-surface-temperature","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-skin-temperature"],"last_harvested_date":"2026-09-09T00:06:34.404029","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"NASA/GSFC/SED/ESD/TISL/GESDISC","slug":"sounder-sips-suomi-npp-crimss-level-3-specific-quality-control-gridded-daily-chart-normal-","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Sounder SIPS: Suomi NPP CrIMSS Level 3 Specific Quality Control Gridded Daily CHART Normal Spectral Resolution V1","type":"dataset"},{"_score":9.643114,"_sort":[1788912378889,9.643114,1,"e094102d-0e95-4435-bbee-186c5df8d16e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The SWOT Level 2 Lake Single-Pass Vector Product (SWOT_L2_HR_LakeSP_D) provides geolocated surface water measurements for lakes and unclassified water bodies, derived from high-resolution radar observations collected by the Ka-band Radar Interferometer (KaRIn) on the SWOT satellite. This product reports water surface elevation, surface area, and quality indicators for each observed lake or feature, with polygons generated from the PIXCVec pixel cloud. It includes features linked to the Prior Lake Database (PLD), as well as unassigned features not recognized as lakes or rivers in the PLD or PRD.\n\nEach granule covers a full KaRIn swath for a single continental pass and contains three ESRI shapefiles: one observation-oriented file of observed PLD lakes, one PLD-oriented file with prior lake features (including unobserved ones), and one file for unassigned features. Observed quantities are referenced to the WGS84 ellipsoid and corrected for geoid height, solid Earth, load, and pole tides, as well as tropospheric and ionospheric path delays. Attributes also include uncertainties, flags for partial or dark water coverage, ice cover, and crossover calibration. Storage change estimates are reported in the PLD-oriented shapefile using both direct and incremental methods under different bathymetric assumptions.\n\nThe LakeSP product provides consistent reach-scale and basin-level lake measurements suitable for time series analyses, hydrologic modeling, and integration with prior lake databases. It enables monitoring of water level changes and surface area dynamics across a wide range of inland water bodies and supports hydrological applications in water balance studies, reservoir management, and climate impact assessment.\n\nThis dataset is the parent collection to the following sub-collections: \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_D \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_D \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_D","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3233944983-POCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/swot_mission_docs/D-109532_SWOT_UserHandbook_RevA_20250311_sig-final.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/swot_mission_docs/SWOT_VersionD_KaRIn_Products_Release_Note_20250423b.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/swot_mission_docs/atbd/SWOT-NT-CDM-1753-CNES_ATBD_LakeSP_20230726_Initial_w-sigs.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/web-misc/swot_mission_docs/pdd/SWOT-TN-CDM-0673-CNES_Product_Description_L2_HR_LakeSP_20250307_RevC_signed.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://cmr.earthdata.nasa.gov/virtual-directory/collections/C3233944983-POCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://github.com/podaac/data-subscriber","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/CitingPODAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/Podaac/thumbnails/SWOT_L2_HR_LakeSP_D.jpg","format":"JPEG","mediaType":"image/jpeg"},{"@type":"dcat:Distribution","downloadURL":"https://podaac.jpl.nasa.gov/swot","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3233944983-POCLOUD","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://swot.jpl.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.aviso.altimetry.fr/en/missions/current-missions/swot.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://www.jpl.nasa.gov/missions/surface-water-and-ocean-topography-swot","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.nasa.gov/swot","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/SWOT-LAKESP-D","keyword":["earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Jet Propulsion Laboratory;NASA/JPL/PODAAC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","theme":["Earth Science"],"title":"SWOT Level 2 Lake Single-Pass Vector Data Product, Version D"},"description":"The SWOT Level 2 Lake Single-Pass Vector Product (SWOT_L2_HR_LakeSP_D) provides geolocated surface water measurements for lakes and unclassified water bodies, derived from high-resolution radar observations collected by the Ka-band Radar Interferometer (KaRIn) on the SWOT satellite. This product reports water surface elevation, surface area, and quality indicators for each observed lake or feature, with polygons generated from the PIXCVec pixel cloud. It includes features linked to the Prior Lake Database (PLD), as well as unassigned features not recognized as lakes or rivers in the PLD or PRD.\n\nEach granule covers a full KaRIn swath for a single continental pass and contains three ESRI shapefiles: one observation-oriented file of observed PLD lakes, one PLD-oriented file with prior lake features (including unobserved ones), and one file for unassigned features. Observed quantities are referenced to the WGS84 ellipsoid and corrected for geoid height, solid Earth, load, and pole tides, as well as tropospheric and ionospheric path delays. Attributes also include uncertainties, flags for partial or dark water coverage, ice cover, and crossover calibration. Storage change estimates are reported in the PLD-oriented shapefile using both direct and incremental methods under different bathymetric assumptions.\n\nThe LakeSP product provides consistent reach-scale and basin-level lake measurements suitable for time series analyses, hydrologic modeling, and integration with prior lake databases. It enables monitoring of water level changes and surface area dynamics across a wide range of inland water bodies and supports hydrological applications in water balance studies, reservoir management, and climate impact assessment.\n\nThis dataset is the parent collection to the following sub-collections: \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_obs_D \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_prior_D \n\nhttps://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_unassigned_D","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/ef6e3fbe-a1f7-4230-938a-60812ef75835","harvest_record_raw":"https://catalog.data.gov/harvest_record/ef6e3fbe-a1f7-4230-938a-60812ef75835/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/SWOT-LAKESP-D","keyword":["earth-science-surface-water-terrestrial-hydrosphere-surface-water-features","earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements"],"last_harvested_date":"2026-09-09T00:06:18.889620","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"Jet Propulsion Laboratory;NASA/JPL/PODAAC","slug":"swot-level-2-lake-single-pass-vector-data-product-version-d","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"SWOT Level 2 Lake Single-Pass Vector Data Product, Version D","type":"dataset"},{"_score":26.79215,"_sort":[1788912359387,26.79215,3,"2d4edf1f-9338-4994-95c9-9c1aad995ab6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Drought Hazard Frequency and Distribution is a 2.5 minute grid based upon the International Research Institute for Climate Prediction's (IRI) Weighted Anomaly of Standardized Precipitation (WASP). Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months' averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day ae excluded. Drought events are identified when the magnitude of a monthly precipitation deficit is less than or equal to 50 percent of its longterm median value for three or more consecutive months. Grid cells are then divided into 10 classes having an approximately equal number of grid cells. Higher grid cell values denote higher frequencies of drought occurrences. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Columbia University International Research Institute for Climate Prediction (IRI), and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550185878-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550185878-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/data/set/ndh-drought-hazard-frequency-distribution/maps/services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-citation2.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-synthesis-report-general-documentation.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.7927/H4VX0DFT","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-droughts","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 85, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -58}]]","temporal":"1980-01-01/2000-12-31","theme":["Earth Science"],"title":"Global Drought Hazard Frequency and Distribution"},"description":"The Global Drought Hazard Frequency and Distribution is a 2.5 minute grid based upon the International Research Institute for Climate Prediction's (IRI) Weighted Anomaly of Standardized Precipitation (WASP). Utilizing average monthly precipitation data from 1980 through 2000 at a resolution of 2.5 degrees, WASP assesses the precipitation deficit or surplus over a three month temporal window that is weighted by the magnitude of the seasonal cyclic variation in precipitation. The three months' averages are derived from the precipitation data and the median rainfall for the 21 year period is calculated for each grid cell. Grid cells where the three month running average of precipitation is less than 1 mm per day ae excluded. Drought events are identified when the magnitude of a monthly precipitation deficit is less than or equal to 50 percent of its longterm median value for three or more consecutive months. Grid cells are then divided into 10 classes having an approximately equal number of grid cells. Higher grid cell values denote higher frequencies of drought occurrences. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), Columbia University International Research Institute for Climate Prediction (IRI), and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5e1768e2-dc95-4f58-b594-fad8a78c4cd0","harvest_record_raw":"https://catalog.data.gov/harvest_record/5e1768e2-dc95-4f58-b594-fad8a78c4cd0/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4VX0DFT","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-droughts","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"last_harvested_date":"2026-09-09T00:05:59.387941","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"ESDIS","slug":"global-drought-hazard-frequency-and-distribution-4fad4","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global Drought Hazard Frequency and Distribution","type":"dataset"},{"_score":10.620962,"_sort":[1788912359050,10.620962,4,"0e63b564-a902-478d-836e-d2b5c12e92ce"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Drought Mortality Risks and Distribution is a 2.5 minute grid of global drought mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to drought hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of drought hazard are obtained from the Global Drought Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of drought-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550188048-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550188048-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/data/set/ndh-drought-mortality-risks-distribution/maps/services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-citation2.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-synthesis-report-general-documentation.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.7927/H4R49NQV","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-droughts","earth-science-population-human-dimensions-mortality","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 85, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -58}]]","temporal":"2000-01-01/2000-12-31","theme":["Earth Science"],"title":"Global Drought Mortality Risks and Distribution"},"description":"The Global Drought Mortality Risks and Distribution is a 2.5 minute grid of global drought mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provide a baseline estimation of population per grid cell from which to estimate potential mortality risks due to drought hazard. Mortality loss estimates per hazard event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of drought hazard are obtained from the Global Drought Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing risk with an approximately equal number of grid cells per class, producing a relative estimate of drought-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/6849ee06-59f7-4e21-b99c-14e7cebd4539","harvest_record_raw":"https://catalog.data.gov/harvest_record/6849ee06-59f7-4e21-b99c-14e7cebd4539/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4R49NQV","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-droughts","earth-science-population-human-dimensions-mortality","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"last_harvested_date":"2026-09-09T00:05:59.050600","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":4,"publisher":"ESDIS","slug":"global-drought-mortality-risks-and-distribution-dc4bc","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global Drought Mortality Risks and Distribution","type":"dataset"},{"_score":19.478334,"_sort":[1788912356938,19.478334,1,"5ddaf510-e103-4514-8b0a-da930656ad1f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100 consists of global SSP-consistent spatial urban land fraction data for the base year 2000 and projections at ten-year intervals for 2010-2100 at a resolution of one-eighth degree (7.5 arc-minutes). Spatial urban land projections are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts and adaptation. This data set presents a set of global, spatially explicit urban land scenarios that are consistent with the Shared Socioeconomic Pathways (SSPs) to produce an empirically-grounded set of urban land spatial distributions over the 21st century. A data-science approach is used exploiting 15 diverse data sets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations from the Landsat satellite series. The SSPs are developed to support future climate and global change research, the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6), along with Special Reports.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3540909397-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3540909397-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/about/esdis","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/nj0x-8y67","keyword":["earth-science-land-use-land-cover-land-surface"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-01-01/2100-12-31","theme":["Earth Science"],"title":"Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100"},"description":"The Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100 consists of global SSP-consistent spatial urban land fraction data for the base year 2000 and projections at ten-year intervals for 2010-2100 at a resolution of one-eighth degree (7.5 arc-minutes). Spatial urban land projections are key inputs for the analysis of land use, energy use, and emissions, as well as for the assessment of climate change vulnerability, impacts and adaptation. This data set presents a set of global, spatially explicit urban land scenarios that are consistent with the Shared Socioeconomic Pathways (SSPs) to produce an empirically-grounded set of urban land spatial distributions over the 21st century. A data-science approach is used exploiting 15 diverse data sets, including a newly available 40-year global time series of fine-spatial-resolution remote sensing observations from the Landsat satellite series. The SSPs are developed to support future climate and global change research, the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6), along with Special Reports.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/36194b8e-bfcd-4f4a-bade-a897f7b2c11a","harvest_record_raw":"https://catalog.data.gov/harvest_record/36194b8e-bfcd-4f4a-bade-a897f7b2c11a/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/nj0x-8y67","keyword":["earth-science-land-use-land-cover-land-surface"],"last_harvested_date":"2026-09-09T00:05:56.938522","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ESDIS","slug":"global-one-eighth-degree-urban-land-extent-projection-and-base-year-grids-by-ssp-2000-2100-846a6","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global One-Eighth Degree Urban Land Extent Projection and Base Year Grids by SSP Scenarios, 2000-2100","type":"dataset"},{"_score":10.987385,"_sort":[1788912355885,10.987385,5,"d25fd9d6-8bc5-427c-90d2-963b6107ed88"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Flood Hazard Frequency and Distribution is a 2.5 minute grid derived from a global listing of extreme flood events between 1985 and 2003 (poor or missing data in the early/mid 1990s) compiled by Dartmouth Flood Observatory and georeferenced to the nearest degree. The resultant flood frequency grid was then classified into 10 classes of approximately equal number of grid cells. The greater the grid cell value in the final data set, the higher the relative frequency of flood occurrence. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550186069-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550186069-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/data/set/ndh-flood-hazard-frequency-distribution/maps/services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-citation2.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-synthesis-report-general-documentation.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.7927/H4668B3D","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-floods","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 85, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -58}]]","temporal":"1985-01-01/2003-12-31","theme":["Earth Science"],"title":"Global Flood Hazard Frequency and Distribution"},"description":"The Global Flood Hazard Frequency and Distribution is a 2.5 minute grid derived from a global listing of extreme flood events between 1985 and 2003 (poor or missing data in the early/mid 1990s) compiled by Dartmouth Flood Observatory and georeferenced to the nearest degree. The resultant flood frequency grid was then classified into 10 classes of approximately equal number of grid cells. The greater the grid cell value in the final data set, the higher the relative frequency of flood occurrence. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR) and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/aea39225-f3f3-4f33-9518-53845acb2108","harvest_record_raw":"https://catalog.data.gov/harvest_record/aea39225-f3f3-4f33-9518-53845acb2108/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4668B3D","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-floods","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"last_harvested_date":"2026-09-09T00:05:55.885908","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"ESDIS","slug":"global-flood-hazard-frequency-and-distribution-a536d","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global Flood Hazard Frequency and Distribution","type":"dataset"},{"_score":10.620962,"_sort":[1788912355199,10.620962,2,"660c8dad-ef3f-421b-b723-864540370450"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Global Flood Mortality Risks and Distribution is a 2.5 minute grid of global flood mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provided a baseline population per grid cell from which to estimate potential mortality risks due to flood hazard. Mortality loss estimates per flood event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of flood hazard are obtained from the Global Flood Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and the procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing hazard with an approximately equal number of grid cells per class, producing a relative estimate of flood-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550185779-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550185779-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/data/set/ndh-flood-mortality-risks-distribution/maps/services","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-citation2.txt","format":"TXT","mediaType":"text/plain"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/downloads/docs-repo/ndh-synthesis-report-general-documentation.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.7927/H42F7KCP","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-floods","earth-science-population-human-dimensions-mortality","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 85, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -58}]]","temporal":"2000-01-01/2000-12-31","theme":["Earth Science"],"title":"Global Flood Mortality Risks and Distribution"},"description":"The Global Flood Mortality Risks and Distribution is a 2.5 minute grid of global flood mortality risks. Gridded Population of the World, Version 3 (GPWv3) data provided a baseline population per grid cell from which to estimate potential mortality risks due to flood hazard. Mortality loss estimates per flood event are calculated using regional, hazard-specific mortality records of the Emergency Events Database (EM-DAT) that span the 20 years between 1981 and 2000. Data regarding the frequency and distribution of flood hazard are obtained from the Global Flood Hazard Frequency and Distribution data set. In order to more accurately reflect the confidence associated with the data and the procedures, the potential mortality estimate range is classified into deciles, 10 classes of increasing hazard with an approximately equal number of grid cells per class, producing a relative estimate of flood-based mortality risks. This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/c0080ebc-3a5f-49ec-837c-d5df998ff882","harvest_record_raw":"https://catalog.data.gov/harvest_record/c0080ebc-3a5f-49ec-837c-d5df998ff882/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H42F7KCP","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-natural-hazards-human-dimensions-floods","earth-science-population-human-dimensions-mortality","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"last_harvested_date":"2026-09-09T00:05:55.199292","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ESDIS","slug":"global-flood-mortality-risks-and-distribution-7065e","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Global Flood Mortality Risks and Distribution","type":"dataset"},{"_score":42.982765,"_sort":[1788912353689,42.982765,1,"9e4ecf9a-2bca-43b9-9175-01d9096f3b50"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Millennium Ecosystem Assessment: MA Climate and Land Cover provides data and information on global gridded climatological variables, global land cover maps, and national and international protected areas. The climatological data include the Climatic Research Unit (CRU) monthly terrestrial surface temperature and precipitation grids at 0.5 degree resolution from 1901-1996, along with temperature and precipitation grids at 10-minute resolution from the CRU and the International Water Management Institute (IWMI). The Global Land Cover 2000 (GLC2000) was produced by an international partnership of 30 research groups coordinated by the European Commission's Joint Research Centre (JRC), which contained two levels of land cover information; detailed and regionally optimized land cover for each continent, and a less thematically detailed global land cover that harmonizes regions into one consistent product. The maps were based on daily data from the Vegetation 1 sensor on-board SPOT 4, though mapping of regions required the use of data from additional Earth observing sensors to resolve specific issues. The international and national protected areas were generated from the World Database of Protected Areas for the year 2000.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550186856-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550186856-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/about/esdis","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/H4QJ7F8M","keyword":["earth-science-environmental-impacts-human-dimensions-water-resources","earth-science-land-use-land-cover-land-surface"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"1901-01-01/2000-12-31","theme":["Earth Science"],"title":"Millennium Ecosystem Assessment: MA Climate and Land Cover"},"description":"The Millennium Ecosystem Assessment: MA Climate and Land Cover provides data and information on global gridded climatological variables, global land cover maps, and national and international protected areas. The climatological data include the Climatic Research Unit (CRU) monthly terrestrial surface temperature and precipitation grids at 0.5 degree resolution from 1901-1996, along with temperature and precipitation grids at 10-minute resolution from the CRU and the International Water Management Institute (IWMI). The Global Land Cover 2000 (GLC2000) was produced by an international partnership of 30 research groups coordinated by the European Commission's Joint Research Centre (JRC), which contained two levels of land cover information; detailed and regionally optimized land cover for each continent, and a less thematically detailed global land cover that harmonizes regions into one consistent product. The maps were based on daily data from the Vegetation 1 sensor on-board SPOT 4, though mapping of regions required the use of data from additional Earth observing sensors to resolve specific issues. The international and national protected areas were generated from the World Database of Protected Areas for the year 2000.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/54f9e4d4-fa40-4c31-9d1f-507825464159","harvest_record_raw":"https://catalog.data.gov/harvest_record/54f9e4d4-fa40-4c31-9d1f-507825464159/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4QJ7F8M","keyword":["earth-science-environmental-impacts-human-dimensions-water-resources","earth-science-land-use-land-cover-land-surface"],"last_harvested_date":"2026-09-09T00:05:53.689369","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"ESDIS","slug":"millennium-ecosystem-assessment-ma-climate-and-land-cover-df92f","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Millennium Ecosystem Assessment: MA Climate and Land Cover","type":"dataset"},{"_score":10.710913,"_sort":[1788912353339,10.710913,3,"f73a9a54-1e44-405c-b3b5-f2143f27bc22"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Millennium Ecosystem Assessment: MA Ecosystems provides data and information on the extent and classification of ecosystems circa 2000, including coastal, cultivated, forest and woodlands, inland water bodies, islands, marine, mountains (elevation), polar, and urban. The data set also includes socioeconomic reporting Units and the location of regional MA projects. The data were used in a number of different ways in the assessment, contributing to an understanding of how humans have altered ecosystems, how changes in ecosystem services have affected human well-being, and how ecosystem changes may affect people in future decades.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550194184-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550194184-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/about/esdis","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/H4KW5CZ6","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-ecosystems-biosphere","earth-science-environmental-impacts-human-dimensions-conservation","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-01-01/2000-12-31","theme":["Earth Science"],"title":"Millennium Ecosystem Assessment: MA Ecosystems"},"description":"The Millennium Ecosystem Assessment: MA Ecosystems provides data and information on the extent and classification of ecosystems circa 2000, including coastal, cultivated, forest and woodlands, inland water bodies, islands, marine, mountains (elevation), polar, and urban. The data set also includes socioeconomic reporting Units and the location of regional MA projects. The data were used in a number of different ways in the assessment, contributing to an understanding of how humans have altered ecosystems, how changes in ecosystem services have affected human well-being, and how ecosystem changes may affect people in future decades.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/e9794dc7-f5e9-4a75-a988-14b2d0aaea94","harvest_record_raw":"https://catalog.data.gov/harvest_record/e9794dc7-f5e9-4a75-a988-14b2d0aaea94/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4KW5CZ6","keyword":["earth-science-climate-change-responses-human-dimensions-climate-adaptation","earth-science-ecosystems-biosphere","earth-science-environmental-impacts-human-dimensions-conservation","earth-science-public-health-human-dimensions-food-security","earth-science-sustainability-human-dimensions"],"last_harvested_date":"2026-09-09T00:05:53.339311","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"ESDIS","slug":"millennium-ecosystem-assessment-ma-ecosystems-1a004","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Millennium Ecosystem Assessment: MA Ecosystems","type":"dataset"},{"_score":15.926153,"_sort":[1788912352305,15.926153,0,"83caa4e8-e75b-49d2-a1a3-498595f2a151"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Intergovernmental Panel on Climate Change (IPCC) Special Report Emissions Scenarios (SRES) Fluor-Gases Emissions Dataset consists of global and regional emissions of Hydrofluorocarbons (HFCs), Perfluorocarbons (PFCs), Sulfur Hexafluoride (SF6), Cholorfluorocarbons (CFCs) and Hydrochlorofluorocarbons (HCFCs) projected every 10 years beginning in 1990 through 2100. This data set is produced by the IPCC and is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550193497-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550193497-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/about/esdis","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/H4HD7SKJ","keyword":["earth-science-air-quality-atmosphere-emissions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"1990-01-01/2100-12-31","theme":["Earth Science"],"title":"IPCC Special Report on Emissions Scenarios (SRES) Fluor-Gases Emissions Dataset"},"description":"The Intergovernmental Panel on Climate Change (IPCC) Special Report Emissions Scenarios (SRES) Fluor-Gases Emissions Dataset consists of global and regional emissions of Hydrofluorocarbons (HFCs), Perfluorocarbons (PFCs), Sulfur Hexafluoride (SF6), Cholorfluorocarbons (CFCs) and Hydrochlorofluorocarbons (HCFCs) projected every 10 years beginning in 1990 through 2100. This data set is produced by the IPCC and is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/133508e0-7f3a-409a-98de-bc47bfa10d4a","harvest_record_raw":"https://catalog.data.gov/harvest_record/133508e0-7f3a-409a-98de-bc47bfa10d4a/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4HD7SKJ","keyword":["earth-science-air-quality-atmosphere-emissions"],"last_harvested_date":"2026-09-09T00:05:52.305772","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"ESDIS","slug":"ipcc-special-report-on-emissions-scenarios-sres-fluor-gases-emissions-dataset-f5d3a","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IPCC Special Report on Emissions Scenarios (SRES) Fluor-Gases Emissions Dataset","type":"dataset"},{"_score":58.50688,"_sort":[1788912351966,58.50688,0,"4b238897-5878-4e89-ae71-b4671af13a14"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) Observed Climate Change Impacts Database contains observed responses to climate change across a wide range of systems as well as regions. These data were taken from the Intergovernmental Panel on Climate Change Fourth Assessment Report and Rosenzweig et al. (2008). It consists of responses in the the physical, terrestrial biological systems and marine-ecosystems. The observations that were selected include data that demonstrate a statistically significant trend in change in either direction in systems related to temperature or other climate change variable, and the is for at least 20 years between 1970 and 2004, although study periods may extend earlier or later. For each observation, the data series is described in terms of system, region, longitude and latitude, dates and duration, statistical significance, type of impact, and whether or not land use was identified as a driving factor. System changes are taken from ~80 studies (of which ~75 are new since the IPCC Third Assessment Report) containing more than 29,500 data series. Observations in the database are characterized as a \"change consistent with warming\" or a \"change not consistent with warming\", based on information from the underlying studies.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3550191570-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3550191570-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://sedac.ciesin.columbia.edu/data/set/ipcc-ar4-observed-climate-impacts/maps/services","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/H4542KJV","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-sea-level-rise","earth-science-environmental-impacts-human-dimensions","earth-science-environmental-impacts-human-dimensions-water-resources","earth-science-public-health-human-dimensions-food-security"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"1970-01-01/2014-12-31","theme":["Earth Science"],"title":"IPCC Fourth Assessment Report (AR4) Observed Climate Change Impacts Database"},"description":"The Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4) Observed Climate Change Impacts Database contains observed responses to climate change across a wide range of systems as well as regions. These data were taken from the Intergovernmental Panel on Climate Change Fourth Assessment Report and Rosenzweig et al. (2008). It consists of responses in the the physical, terrestrial biological systems and marine-ecosystems. The observations that were selected include data that demonstrate a statistically significant trend in change in either direction in systems related to temperature or other climate change variable, and the is for at least 20 years between 1970 and 2004, although study periods may extend earlier or later. For each observation, the data series is described in terms of system, region, longitude and latitude, dates and duration, statistical significance, type of impact, and whether or not land use was identified as a driving factor. System changes are taken from ~80 studies (of which ~75 are new since the IPCC Third Assessment Report) containing more than 29,500 data series. Observations in the database are characterized as a \"change consistent with warming\" or a \"change not consistent with warming\", based on information from the underlying studies.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/5789110d-2227-4a7d-8eae-7d520f35948f","harvest_record_raw":"https://catalog.data.gov/harvest_record/5789110d-2227-4a7d-8eae-7d520f35948f/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H4542KJV","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-sea-level-rise","earth-science-environmental-impacts-human-dimensions","earth-science-environmental-impacts-human-dimensions-water-resources","earth-science-public-health-human-dimensions-food-security"],"last_harvested_date":"2026-09-09T00:05:51.966252","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":0,"publisher":"ESDIS","slug":"ipcc-fourth-assessment-report-ar4-observed-climate-change-impacts-database-2572a","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IPCC Fourth Assessment Report (AR4) Observed Climate Change Impacts Database","type":"dataset"},{"_score":18.687672,"_sort":[1788912351619,18.687672,2,"70d2bdac-b366-4e66-82da-12e67f1181b1"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Intergovernmental Panel on Climate Change (IPCC) IS92 Emissions Scenarios (A, B, C, D, E, F) Dataset Version 1.1 consists of six global and regional greenhouse gases (GHGs) emissions scenarios projected from 1990 through 2100. The six alternative IPCC scenarios (IS92 A to F) were published in the 1992 Supplementary Report to the IPCC Assessment. These scenarios embodied a wide array of assumptions affecting how future greenhouse gas emissions might evolve in the absence of climate policies beyond those already adopted. The data set was originally produced by IPCC in 1992, and the digital version was re-edited in 2005 to resolve the discrepancies among versions of the data over years. The definitive version of this data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C3551682544-ESDIS.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C3551682544-ESDIS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/about/esdis","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.7927/H41C1TT4","keyword":["earth-science-air-quality-atmosphere-emissions"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"ESDIS"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"1990-01-01/2100-12-31","theme":["Earth Science"],"title":"IPCC IS92 Emissions Scenarios (A, B, C, D, E, F) Dataset Version 1.1"},"description":"The Intergovernmental Panel on Climate Change (IPCC) IS92 Emissions Scenarios (A, B, C, D, E, F) Dataset Version 1.1 consists of six global and regional greenhouse gases (GHGs) emissions scenarios projected from 1990 through 2100. The six alternative IPCC scenarios (IS92 A to F) were published in the 1992 Supplementary Report to the IPCC Assessment. These scenarios embodied a wide array of assumptions affecting how future greenhouse gas emissions might evolve in the absence of climate policies beyond those already adopted. The data set was originally produced by IPCC in 1992, and the digital version was re-edited in 2005 to resolve the discrepancies among versions of the data over years. The definitive version of this data set is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/abcb23cb-d045-4a99-8776-44b92b8e2bea","harvest_record_raw":"https://catalog.data.gov/harvest_record/abcb23cb-d045-4a99-8776-44b92b8e2bea/raw","has_download":true,"has_spatial":true,"identifier":"10.7927/H41C1TT4","keyword":["earth-science-air-quality-atmosphere-emissions"],"last_harvested_date":"2026-09-09T00:05:51.619563","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"ESDIS","slug":"ipcc-is92-emissions-scenarios-a-b-c-d-e-f-dataset-version-1-1-5e19d","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"IPCC IS92 Emissions Scenarios (A, B, C, D, E, F) Dataset Version 1.1","type":"dataset"},{"_score":10.715513,"_sort":[1788912342531,10.715513,3,"ba9a65b5-223e-42f0-9154-085339af1831"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MOD11C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD11C1 Version 6.1](https://doi.org/10.5067/MODIS/MOD11C1.061) data product.\n\nThe MOD11C1 Version 6 product provides daily Land Surface Temperature and Emissivity (LST&E) values in a 0.05 degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). The MOD11C1 product is directly derived from the [MOD11B1](https://doi.org/10.5067/MODIS/MOD11B1.006) product. A CMG granule follows a Geographic grid, having 7,200 columns and 3,600 rows, which represent the entire globe. Each MOD11C1 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, number of clear-sky observations, and emissivities from bands 20, 22, 23, 29, 31, and 32 (bands 31 and 32 are daytime only) along with the percentage of land in the grid. \n\nKnown Issues\n* Production of V6 Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 16, 2022, due to [significant loss of data retrieval](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=98) following the Constellation Exit Maneuvers.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763297244-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MOD11C1.006","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD11C1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/118/MOD11_User_Guide_V6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/119/MOD11_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD11","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD11C1.006","keyword":["earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-24/2022-11-15","theme":["Earth Science"],"title":"MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V006"},"description":"The MOD11C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD11C1 Version 6.1](https://doi.org/10.5067/MODIS/MOD11C1.061) data product.\n\nThe MOD11C1 Version 6 product provides daily Land Surface Temperature and Emissivity (LST&E) values in a 0.05 degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). The MOD11C1 product is directly derived from the [MOD11B1](https://doi.org/10.5067/MODIS/MOD11B1.006) product. A CMG granule follows a Geographic grid, having 7,200 columns and 3,600 rows, which represent the entire globe. Each MOD11C1 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, number of clear-sky observations, and emissivities from bands 20, 22, 23, 29, 31, and 32 (bands 31 and 32 are daytime only) along with the percentage of land in the grid. \n\nKnown Issues\n* Production of V6 Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 16, 2022, due to [significant loss of data retrieval](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=98) following the Constellation Exit Maneuvers.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/89e7d004-cef5-46c0-b1b2-d4d6391cd9d0","harvest_record_raw":"https://catalog.data.gov/harvest_record/89e7d004-cef5-46c0-b1b2-d4d6391cd9d0/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD11C1.006","keyword":["earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-09-09T00:05:42.531647","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terra-land-surface-temperature-emissivity-daily-l3-global-0-05deg-cmg-v006","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V006","type":"dataset"},{"_score":10.715513,"_sort":[1788912342170,10.715513,2,"b9ad22e5-283d-40bd-9991-99c82c12f07f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MOD11C3 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD11C3 Version 6.1](https://doi.org/10.5067/MODIS/MOD11C3.061) data product.\n\nThe MOD11C3 Version 6 product provides monthly Land Surface Temperature and Emissivity (LST&E) values in a 0.05  degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). A CMG granule is a geographic grid with 7,200 columns and 3,600 rows representing the entire globe. The LST&E values in the MOD11C3 product are derived by compositing and averaging the values from the corresponding month of [MOD11C1](https://doi.org/10.5067/MODIS/MOD11C1.006) daily files. Each MOD11C3 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, and number of clear-sky observations along with percentage of land in the grid and emissivities from bands 20, 22, 23, 29, 31, and 32. \n\nKnown Issues\n* Production of V6 Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 16, 2022, due to [significant loss of data retrieval](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=98) following the Constellation Exit Maneuvers.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763297260-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MOD11C3.006","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD11C3","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/118/MOD11_User_Guide_V6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/119/MOD11_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD11","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD11C3.006","keyword":["earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-01/2022-11-30","theme":["Earth Science"],"title":"MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V006"},"description":"The MOD11C3 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD11C3 Version 6.1](https://doi.org/10.5067/MODIS/MOD11C3.061) data product.\n\nThe MOD11C3 Version 6 product provides monthly Land Surface Temperature and Emissivity (LST&E) values in a 0.05  degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). A CMG granule is a geographic grid with 7,200 columns and 3,600 rows representing the entire globe. The LST&E values in the MOD11C3 product are derived by compositing and averaging the values from the corresponding month of [MOD11C1](https://doi.org/10.5067/MODIS/MOD11C1.006) daily files. Each MOD11C3 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, and number of clear-sky observations along with percentage of land in the grid and emissivities from bands 20, 22, 23, 29, 31, and 32. \n\nKnown Issues\n* Production of V6 Terra MODIS Land Surface Temperature and Emissivity (LST&E) data products was discontinued on November 16, 2022, due to [significant loss of data retrieval](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=98) following the Constellation Exit Maneuvers.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/a8e38efe-3ba8-41cd-80e5-e7a3ecb1add3","harvest_record_raw":"https://catalog.data.gov/harvest_record/a8e38efe-3ba8-41cd-80e5-e7a3ecb1add3/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD11C3.006","keyword":["earth-science-surface-radiative-properties-land-surface-emissivity","earth-science-surface-thermal-properties-land-surface-land-surface-temperature"],"last_harvested_date":"2026-09-09T00:05:42.170001","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":2,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terra-land-surface-temperature-emissivity-monthly-l3-global-0-05deg-cmg-v006","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V006","type":"dataset"},{"_score":13.32277,"_sort":[1788912340352,13.32277,1,"22c5d967-b1ee-4f33-b62c-76019e113f3c"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MOD09CMG Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD09CMG Version 6.1](https://doi.org/10.5067/MODIS/MOD09CMG.061) data product.\n\nThe MOD09CMG Version 6 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter (m) pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MOD09CMG data product provides 25 layers including MODIS bands 1 through 7; Brightness Temperature data from thermal bands 20, 21, 31, and 32; along with Quality Assurance (QA) and observation bands. This product is based on a Climate Modeling Grid (CMG) for use in climate simulation models. \n\nKnown Issues\n* Striping due to a dead detector is noticeable for bands 5, 6, and 7 in scenes acquired February 24 through October 31, 2000. Corrections were implemented to reduce the striping in data acquired after November 1, 2000. Users should always check the band quality for dead detectors even though reflectance values may be in the valid range. \n* The Collection 6 MODIS Land Surface Reflectance product (MOD09) may [incorrectly flag retrievals as \u2018High Aerosol\u2019](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) over brighter surfaces and at higher view angles. This will impact the downstream MODIS BRDF/Albedo (MCD43) and Vegetation Index (MOD13 and MYD13) data products which use the aerosol quantity flag to screen out high aerosol values.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763297176-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MOD09CMG.006","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD09CMG","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://landweb.modaps.eosdis.nasa.gov","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/305/MOD09_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/306/MOD09_User_Guide_V6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD09","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD09CMG.006","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-24/2023-02-17","theme":["Earth Science"],"title":"MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG V006"},"description":"The MOD09CMG Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD09CMG Version 6.1](https://doi.org/10.5067/MODIS/MOD09CMG.061) data product.\n\nThe MOD09CMG Version 6 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Bands 1 through 7, resampled to 5600 meter (m) pixel resolution and corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. The MOD09CMG data product provides 25 layers including MODIS bands 1 through 7; Brightness Temperature data from thermal bands 20, 21, 31, and 32; along with Quality Assurance (QA) and observation bands. This product is based on a Climate Modeling Grid (CMG) for use in climate simulation models. \n\nKnown Issues\n* Striping due to a dead detector is noticeable for bands 5, 6, and 7 in scenes acquired February 24 through October 31, 2000. Corrections were implemented to reduce the striping in data acquired after November 1, 2000. Users should always check the band quality for dead detectors even though reflectance values may be in the valid range. \n* The Collection 6 MODIS Land Surface Reflectance product (MOD09) may [incorrectly flag retrievals as \u2018High Aerosol\u2019](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) over brighter surfaces and at higher view angles. This will impact the downstream MODIS BRDF/Albedo (MCD43) and Vegetation Index (MOD13 and MYD13) data products which use the aerosol quantity flag to screen out high aerosol values.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/17509bc6-3745-4cb7-8747-ec767751ad23","harvest_record_raw":"https://catalog.data.gov/harvest_record/17509bc6-3745-4cb7-8747-ec767751ad23/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD09CMG.006","keyword":["earth-science-surface-radiative-properties-land-surface-reflectance"],"last_harvested_date":"2026-09-09T00:05:40.352058","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terra-surface-reflectance-daily-l3-global-0-05deg-cmg-v006","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Surface Reflectance Daily L3 Global 0.05Deg CMG V006","type":"dataset"},{"_score":9.947695,"_sort":[1788912339641,9.947695,3,"498def32-bee1-4e71-bf1c-9e8098570cb6"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MOD13C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD13C1 Version 6.1](https://doi.org/10.5067/MODIS/MOD13C1.061) data product.\n\nThe MOD13C1 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. Global MOD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer [MOD13A2](https://doi.org/10.5067/MODIS/MOD13A2.006) data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MOD09 surface reflectance products may have [impacted](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) MOD13 Vegetation Index data products particularly over arid bright surfaces.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763297277-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MOD13C1.006","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD13C1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/103/MOD13_User_Guide_V6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/104/MOD13_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD13C1.006","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-18/2023-02-17","theme":["Earth Science"],"title":"MODIS/Terra Vegetation Indices 16-Day L3 Global 0.05Deg CMG V006"},"description":"The MOD13C1 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD13C1 Version 6.1](https://doi.org/10.5067/MODIS/MOD13C1.061) data product.\n\nThe MOD13C1 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. Global MOD13C1 data are cloud-free spatial composites of the gridded 16-day 1 kilometer [MOD13A2](https://doi.org/10.5067/MODIS/MOD13A2.006) data, and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C1 has data fields for NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MOD09 surface reflectance products may have [impacted](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) MOD13 Vegetation Index data products particularly over arid bright surfaces.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/02989011-aa7d-4ddf-b981-d13da86b90f5","harvest_record_raw":"https://catalog.data.gov/harvest_record/02989011-aa7d-4ddf-b981-d13da86b90f5/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD13C1.006","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:05:39.641065","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terra-vegetation-indices-16-day-l3-global-0-05deg-cmg-v006","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Vegetation Indices 16-Day L3 Global 0.05Deg CMG V006","type":"dataset"},{"_score":7.8709717,"_sort":[1788912338562,7.8709717,5,"39d69ba7-a8f5-4288-b7d0-b46455a8362f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The MOD13C2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD13C2 Version 6.1](https://doi.org/10.5067/MODIS/MOD13C2.061) data product.\n\nThe MOD13C2 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists of 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. In generating this monthly product, the algorithm ingests all the [MOD13A2](https://doi.org/10.5067/MODIS/MOD13A2.006) products that overlap the month and employs a weighted temporal average. Global MOD13C1 data are cloud-free spatial composites and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MOD09 surface reflectance products may have [impacted](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) MOD13 Vegetation Index data products particularly over arid bright surfaces.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).\n\nImprovements/Changes from Previous Versions\n* The 16-day composite VI is generated using the two 8-day composite surface reflectance granules ([MOD09A1](https://doi.org/10.5067/MODIS/MOD09A1.006)) in the 16-day period.\n* This surface reflectance input is based on the minimum blue compositing approach used to generate the 8-day surface reflectance product.\n* The product format is consistent with the Version 5 product generated using the Level 2 gridded daily surface reflectance product. \n* A frequently updated long-term global CMG Average Vegetation Index product database is used to fill the gaps in the CMG product suite.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2763297287-LPCLOUD.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5067/MODIS/MOD13C2.006","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ladsweb.modaps.eosdis.nasa.gov/filespec/MODIS/6/MOD13C2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/103/MOD13_User_Guide_V6.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://lpdaac.usgs.gov/documents/104/MOD13_ATBD.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/MODLAND_val.html","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://modis-land.gsfc.nasa.gov/ValStatus.php?ProductID=MOD13Q1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.earthdata.nasa.gov/centers/lp-daac","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODIS/MOD13C2.006","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]","temporal":"2000-02-01/2023-01-31","theme":["Earth Science"],"title":"MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg CMG V006"},"description":"The MOD13C2 Version 6 data product was decommissioned on July 31, 2023. Users are encouraged to use the [MOD13C2 Version 6.1](https://doi.org/10.5067/MODIS/MOD13C2.061) data product.\n\nThe MOD13C2 Version 6 product provides a Vegetation Index (VI) value at a per pixel basis. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions.\n\nThe Climate Modeling Grid (CMG) consists of 3,600 rows and 7,200 columns of 5,600 meter (m) pixels. In generating this monthly product, the algorithm ingests all the [MOD13A2](https://doi.org/10.5067/MODIS/MOD13A2.006) products that overlap the month and employs a weighted temporal average. Global MOD13C1 data are cloud-free spatial composites and are provided as a Level 3 product projected on a 0.05 degree (5,600 m) geographic CMG. The MOD13C2 has data fields for the NDVI, EVI, VI QA, reflectance data, angular information, and spatial statistics such as mean, standard deviation, and number of used input pixels at the 0.05 degree CMG resolution. \n\nKnown Issues\n* The incorrect representation of the aerosol quantities (low, average, high) in the Collection 6 MOD09 surface reflectance products may have [impacted](https://landweb.modaps.eosdis.nasa.gov/displayissue?id=86) MOD13 Vegetation Index data products particularly over arid bright surfaces.\n* [Corrections](https://landweb.modaps.eosdis.nasa.gov/data/userguide/LSRHighAerosolFlagFinal.pdf) were implemented in Collection 6.1 reprocessing.\n* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=Terra&as=6).\n\nImprovements/Changes from Previous Versions\n* The 16-day composite VI is generated using the two 8-day composite surface reflectance granules ([MOD09A1](https://doi.org/10.5067/MODIS/MOD09A1.006)) in the 16-day period.\n* This surface reflectance input is based on the minimum blue compositing approach used to generate the 8-day surface reflectance product.\n* The product format is consistent with the Version 5 product generated using the Level 2 gridded daily surface reflectance product. \n* A frequently updated long-term global CMG Average Vegetation Index product database is used to fill the gaps in the CMG product suite.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/045c56e1-fcf7-48b4-8c1c-fad625eb6fb1","harvest_record_raw":"https://catalog.data.gov/harvest_record/045c56e1-fcf7-48b4-8c1c-fad625eb6fb1/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODIS/MOD13C2.006","keyword":["earth-science-vegetation-biosphere-vegetation-index"],"last_harvested_date":"2026-09-09T00:05:38.562023","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":5,"publisher":"LP DAAC;NASA/GSFC/SED/ESD/TISL/MODAPS","slug":"modis-terra-vegetation-indices-monthly-l3-global-0-05deg-cmg-v006","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"MODIS/Terra Vegetation Indices Monthly L3 Global 0.05Deg CMG V006","type":"dataset"},{"_score":10.798376,"_sort":[1788912338188,10.798376,3,"6dd7a179-e279-424f-b5bb-ae236ddc25c8"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12, 2020, through March 4, 2023, in netCDF-3 format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1995874860-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/IMPACTS/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://cloud.gsfc.nasa.gov/index.php?section=35","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1109/IGARSS46834.2022.9883693","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/BAMS-D-20-0246.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://espo.nasa.gov/impacts/content/IMPACTS","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/wrfimpacts__1/docs/wrfimpacts_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/impacts","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/micro-articles/investigation-microphysics-and-precipitation-atlantic-coast-threatening-snowstorms","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1995874860-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.eol.ucar.edu/node/15190/publications?_ga=2.3619568.1372455051.1699281084-281825729.1615488478","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.mmm.ucar.edu/weather-research-and-forecasting-model","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/IMPACTS/WRF/DATA101","keyword":["earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 53.58893585205078, \"WestBoundingCoordinate\": -114.20199584960938, \"EastBoundingCoordinate\": -53.798004150390625, \"SouthBoundingCoordinate\": 22.970565795898438}]]","temporal":"2020-01-12/2023-03-04","theme":["Earth Science"],"title":"Weather Research and Forecasting (WRF) Model IMPACTS"},"description":"The Weather Research and Forecasting (WRF) Model IMPACTS dataset includes model data simulated by the Weather Research and Forecasting (WRF) model for the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The WRF model provided simulations of the precipitation events that were observed during the campaign using initial and boundary conditions from the Global Forecast System (GFS) model and the North American Mesoscale Forecast System (NAM). The WRF IMPACTS dataset files are available from January 12, 2020, through March 4, 2023, in netCDF-3 format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/673a6646-2f8e-430c-897a-19d440789516","harvest_record_raw":"https://catalog.data.gov/harvest_record/673a6646-2f8e-430c-897a-19d440789516/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/IMPACTS/WRF/DATA101","keyword":["earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:05:38.188396","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/MSFC/GHRC","slug":"weather-research-and-forecasting-wrf-model-impacts","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"Weather Research and Forecasting (WRF) Model IMPACTS","type":"dataset"},{"_score":9.867447,"_sort":[1788912333462,9.867447,1,"a245834e-eb5b-4bca-bb56-8c27fa41f97a"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) dataset consist of solar backscattered radiation measured by the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). Data files in HDF-5 format are available for March 21, 2017 through May 14, 2017.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1979115813-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"http://dx.doi.org/10.5067/GOESRPLT/DATA101","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1002/2016JD025483","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1016/j.ecss.2017.10.021","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1109/TGRS.2017.2744323","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.5194/amt-9-2647-2016","format":"HTML","mediaType":"text/html"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/goesrpltgcas__1/doc/goesrpltgcas_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/micro-articles/goes-r-post-launch-test-plt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1979115813-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/GOESRPLT/GCAS/DATA101","keyword":["earth-science-ocean-optics-oceans-radiance","earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.838, \"NorthBoundingCoordinate\": 43.6489, \"EastBoundingCoordinate\": -72.1396, \"SouthBoundingCoordinate\": 27.4778}]]","temporal":"2017-03-21/2017-05-14","theme":["Earth Science"],"title":"GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS)"},"description":"The GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) dataset consist of solar backscattered radiation measured by the Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS) flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT field campaign took place from March to May of 2017 in support of post-launch L1B product validation of the Advanced Baseline Image (ABI) and the Geostationary Lightning Mapper (GLM). Data files in HDF-5 format are available for March 21, 2017 through May 14, 2017.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/d99dc4d4-b3ba-4030-b561-b61c6bb8dbfe","harvest_record_raw":"https://catalog.data.gov/harvest_record/d99dc4d4-b3ba-4030-b561-b61c6bb8dbfe/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GOESRPLT/GCAS/DATA101","keyword":["earth-science-ocean-optics-oceans-radiance","earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:05:33.462884","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/MSFC/GHRC","slug":"goes-r-plt-geostationary-coastal-and-air-pollution-event-geo-cape-airborne-simulator-gcas","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GOES-R PLT Geostationary Coastal and Air Pollution Event (GEO-CAPE) Airborne Simulator (GCAS)","type":"dataset"},{"_score":7.059499,"_sort":[1788912333086,7.059499,3,"073c7116-b1ed-4f0e-9f8b-bca85e6360af"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds, high rainfall rates, hail damage, and other weather events. The toolkit provides a 54-hour probabilistic forecast over Nepal and Bangladesh along with parts of northeast India (i.e., the Hindu Kush Himalayan region). HIWAT will also support threat assessments, such as thunderstorm intensity, using GPM and impact assessments using Landsat/MODIS land imagery to identify damage scars. The dataset files are available from April 2, 2017, through October 2, 2022, in netCDF-3 format.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C2756158683-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://doi.org/10.1175/BAMS-D-21-0260.1","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/hiwat__1/docs/hiwat_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ntrs.nasa.gov/api/citations/20210000535/downloads/CH15_SHKH-2020-0601_accepted.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C2756158683-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://servir.icimod.org/science-applications/high-impact-weather-assessment-toolkit/","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.5067/MODEL/HIWAT/DATA101","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-cloud-indicators","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-precipitation-oceans-liquid-precipitation","earth-science-weather-events-atmosphere-stability-severe-weather-indices"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 45.951, \"WestBoundingCoordinate\": 60.562, \"EastBoundingCoordinate\": 111.438, \"SouthBoundingCoordinate\": 10.632}]]","temporal":"2017-04-02/2022-10-02","theme":["Earth Science"],"title":"High-Impact Weather Assessment Toolkit (HIWAT)"},"description":"The High Impact Weather Assessment Toolkit (HIWAT) uses a mesoscale numerical weather prediction model and the Global Precipitation Measurement (GPM) constellation of satellites. The toolkit includes a suite of ensemble model forecasts to constrain uncertainties and provide a probabilistic forecast for improved decision-making. The toolkit provides outlooks for lightning strikes, high-impact winds, high rainfall rates, hail damage, and other weather events. The toolkit provides a 54-hour probabilistic forecast over Nepal and Bangladesh along with parts of northeast India (i.e., the Hindu Kush Himalayan region). HIWAT will also support threat assessments, such as thunderstorm intensity, using GPM and impact assessments using Landsat/MODIS land imagery to identify damage scars. The dataset files are available from April 2, 2017, through October 2, 2022, in netCDF-3 format.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/4be4ca52-bf02-4802-b391-d90daa669b3b","harvest_record_raw":"https://catalog.data.gov/harvest_record/4be4ca52-bf02-4802-b391-d90daa669b3b/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/MODEL/HIWAT/DATA101","keyword":["earth-science-atmospheric-ocean-indicators-climate-indicators-cloud-indicators","earth-science-atmospheric-winds-atmosphere-upper-level-winds","earth-science-precipitation-atmosphere-liquid-precipitation","earth-science-precipitation-atmosphere-precipitation-amount","earth-science-precipitation-atmosphere-precipitation-rate","earth-science-precipitation-oceans-liquid-precipitation","earth-science-weather-events-atmosphere-stability-severe-weather-indices"],"last_harvested_date":"2026-09-09T00:05:33.086443","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/MSFC/GHRC","slug":"high-impact-weather-assessment-toolkit-hiwat","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"High-Impact Weather Assessment Toolkit (HIWAT)","type":"dataset"},{"_score":9.675587,"_sort":[1788912332729,9.675587,3,"df701d86-9a9c-431e-9ff9-5d78cbd793a0"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["026:00"],"contactPoint":{"@type":"vcard:Contact","fn":"Earthdata Forum","hasEmail":"mailto:earthdata-support@nasa.gov"},"description":"The GOES-R PLT Mission Reports dataset consists of various reports filed by the scientists during the GOES-R Post Launch Test (PLT) field campaign including flight reports, weather forecasts, mission scientist reports, and plan-of-day reports. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The GOES-R PLT Mission Reports dataset contains reports from March 13 through May 17, 2017 in PDF, PNG, Microsoft Excel and Word (.xlsx and .docx) format, and KMZ format for display in Google Earth.","distribution":[{"@type":"dcat:Distribution","conformsTo":"http://www.isotc211.org/2005/gmi","description":"The metadata's original source.","downloadURL":"https://cmr.earthdata.nasa.gov/search/concepts/C1995569043-GHRC_DAAC.iso19115","format":"ISO","mediaType":"text/xml","title":"Original Metadata"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.earthdata.nasa.gov/browseui/#pub/goesrpltmisrep__1/doc/goesrpltmisrep_dataset.pdf","format":"PDF","mediaType":"application/pdf"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/field-campaigns/goes-r_plt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://ghrc.nsstc.nasa.gov/home/micro-articles/goes-r-post-launch-test-plt","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://search.earthdata.nasa.gov/search/granules?p=C1995569043-GHRC_DAAC","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://www.goes-r.gov/products/RIMPs/RIMP_ABI-L2_DSR-RSR_v1.0.pdf","format":"PDF","mediaType":"application/pdf"}],"identifier":"10.5067/GOESRPLT/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-weather-events-atmosphere-weather-climate-advisories"],"license":"https://www.usa.gov/government-works","modified":"2026-09-08","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"NASA/MSFC/GHRC"},"spatial":"[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -124.625, \"NorthBoundingCoordinate\": 43.573, \"EastBoundingCoordinate\": -72.202, \"SouthBoundingCoordinate\": 26.449}]]","temporal":"2017-03-13/2017-05-17","theme":["Earth Science"],"title":"GOES-R PLT Mission Reports"},"description":"The GOES-R PLT Mission Reports dataset consists of various reports filed by the scientists during the GOES-R Post Launch Test (PLT) field campaign including flight reports, weather forecasts, mission scientist reports, and plan-of-day reports. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The GOES-R PLT Mission Reports dataset contains reports from March 13 through May 17, 2017 in PDF, PNG, Microsoft Excel and Word (.xlsx and .docx) format, and KMZ format for display in Google Earth.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/7d73ebf9-a017-453f-bea8-06617aefc2a6","harvest_record_raw":"https://catalog.data.gov/harvest_record/7d73ebf9-a017-453f-bea8-06617aefc2a6/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/GOESRPLT/REPORTS/DATA101","keyword":["earth-science-platform-characteristics-spectral-engineering-flight-data-logs","earth-science-weather-events-atmosphere-weather-climate-advisories"],"last_harvested_date":"2026-09-09T00:05:32.729608","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":3,"publisher":"NASA/MSFC/GHRC","slug":"goes-r-plt-mission-reports","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"GOES-R PLT Mission Reports","type":"dataset"}],"sort":"last_harvested_date"}
