Timeline / Data.gov — Climate Datasets
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Evidence
| Source | Data.gov — Climate Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=climate&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-10-07T06:18:13+00:00 |
| Content type | application/json |
| Current object |
7c13928b79574a9c69feb334d48b1ce28996affd9bc013020432c40f66e6e44f
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metadata
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| Previous object |
669de073e2688d1ead9a5ee32e5c0e4385168c72a7f41d24e653925955b5b79b
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metadata
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-10-07T06:18:13+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 3081 line(s) added, 2940 line(s) removed.
--- previous +++ current @@ -1,13 +1,13 @@ { - "after": "WzE3OTEzMzIwNjQ1NDEsMTUuNjQ4MTY3LDEsImExNWZiNzQ5LWY1NDMtNDNjYy1hMjE5LTJiZGY4N2IxOTQ0YyJd", + "after": "WzE3OTEzMzIzNzcxNzAsMTUuNzQwNzc2LDAsIjc4ZDAzODY1LWJhZWMtNGI2OC1hNWMyLTk4NTYxZmRkODQxNyJd", "results": [ { - "_score": 37.012802, + "_score": 8.553934, "_sort": [ - 1791332202778, - 37.012802, + 1791335038027, + 8.553934, 1, - "5a775d17-c22a-4733-be1a-38bbb5ac3468" + "e3db3d13-7407-4fe1-8ba0-18aaf07daf7f" ], "access_level": "public", "dcat": { @@ -18,124 +18,101 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "The Climate Fingerprinting Sounder Product (ClimFiSP) Version 2 provides Level 3 daily and monthly atmospheric data including temperature profiles, water vapor, ozone, cloud properties, as well as surface properties, including skin temperature and emissivity. Data are available on a ½ by ½ degree grid. These geophysical variables are derived, via the ClimFiSP retrieval algorithm, from the Climate Hyperspectral Infrared Radiance Product (CHIRP), a Level 1 radiance product that harmonizes measurements from three different infrared sounding instruments: the AIRS sensor on EOS-Aqua and the CrIS sensors on the Suomi-NPP and NOAA-20 (JPSS-1) satellites. All three platforms follow similar sun-synchronous orbits, with CLIMFISP daily records including data for both the ascending (1:30 p.m.) and descending (1:30 a.m.) orbit passes. ClimFISP retrievals derived from each instrument are provided separately to facilitate detection of potential radiance biases between the CHIRP-AIRS and CHIRP-CrIS data records, and to evaluate their impact on the long-term data record formed by merging AIRS and CrIS data.", + "fn": "GREG STENSAAS", + "hasEmail": "mailto:stensaas@usgs.gov" + }, + "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:\n\nBackground:\n\nReference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities.\nRequirement:\n\nInitiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.\n\nPseudo-Invariant Calibration Sites (PICS):\nMauritania 1 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", "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/C3594929831-GES_DISC.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://disc.gsfc.nasa.gov/datacollection/SNDRJ1IL3SDCFSP_2.html", + "description": "NASA Ocean Color Web - Algorithm Description Documentation", + "downloadURL": "https://oceancolor.gsfc.nasa.gov/resources/atbd/", "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRJ1IL3SDCFSP_2.png", - "format": "PNG", - "mediaType": "image/png" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Sounder/ClimFiSP.V2.ATBD.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Sounder/ClimFiSP.V2.README_03182026.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C3594929831-GES_DISC", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://sounder.gesdisc.eosdis.nasa.gov/data/JPSS1_Sounder_Level3/SNDRJ1IL3SDCFSP.2/", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://sounder.gesdisc.eosdis.nasa.gov/opendap/JPSS1_Sounder_Level3/SNDRJ1IL3SDCFSP.2/", - "format": "BIN", - "mediaType": "application/octet-stream" + "mediaType": "text/html", + "title": "View this dataset's algorithm theoretical basis document" + }, + { + "@type": "dcat:Distribution", + "description": "NASA Ocean Color Web - Data Citation Guidelines", + "downloadURL": "https://oceancolor.gsfc.nasa.gov/resources/how-to-cite/", + "format": "HTML", + "mediaType": "text/html", + "title": "View information related to this dataset" + }, + { + "@type": "dcat:Distribution", + "description": "NASA Ocean Color Web - Data Distribution Site", + "downloadURL": "https://oceandata.sci.gsfc.nasa.gov/directdataaccess/Level-2/SNPP-VIIRS/", + "format": "HTML", + "mediaType": "text/html", + "title": "Download this dataset through a directory map" + }, + { + "@type": "dcat:Distribution", + "description": "NASA Ocean Color Web - Processing History", + "downloadURL": "https://oceancolor.gsfc.nasa.gov/data/reprocessing/", + "format": "HTML", + "mediaType": "text/html", + "title": "View this dataset's processing history" } ], - "identifier": "10.5067/9T5ZDUK9RY8Z", - "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": "2026-09-29", + "identifier": "C1220566922-USGS_LTA", + "issued": "1972-09-26", + "keyword": [ + "earth-science", + "land-surface", + "land-use-land-cover", + "national-geospatial-data-asset", + "ngda", + "sensor-characteristics", + "spectral-engineering", + "surface-radiative-properties", + "surface-thermal-properties" + ], + "landingPage": "https://cmr.earthdata.nasa.gov:443/search/concepts/C1220566922-USGS_LTA.html", + "language": [ + "en-US" + ], + "modified": "2025-03-31", "programCode": [ - "026:000" + "026:001" ], "publisher": { "@type": "org:Organization", - "name": "NASA/GSFC/SED/ESD/TISL/GESDISC" - }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "2018-02-17/2026-09-21", - "theme": [ - "Earth Science" - ], - "title": "Sounder SIPS: JPSS-1/NOAA-20 CrIS Level 3 Climate Fingerprinting Sounder Product (ClimFiSP) Daily: Gridded Atmosphere, Cloud, and Surface Geophysical State V2" - }, - "description": "The Climate Fingerprinting Sounder Product (ClimFiSP) Version 2 provides Level 3 daily and monthly atmospheric data including temperature profiles, water vapor, ozone, cloud properties, as well as surface properties, including skin temperature and emissivity. 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ClimFISP retrievals derived from each instrument are provided separately to facilitate detection of potential radiance biases between the CHIRP-AIRS and CHIRP-CrIS data records, and to evaluate their impact on the long-term data record formed by merging AIRS and CrIS data.", + "name": "DOI/USGS/EROS" + }, + "spatial": "-10.74 17.74 -7.9 21.26", + "temporal": "1972-09-26T00:00:00Z/2023-02-28T00:00:00Z", + "theme": [ + "CWIC", + "geospatial" + ], + "title": "CEOS Cal Val Test Site - Mauritania 1 - Pseudo-Invariant Calibration Site (PICS)" + }, + "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:\n\nBackground:\n\nReference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities.\nRequirement:\n\nInitiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.\n\nPseudo-Invariant Calibration Sites (PICS):\nMauritania 1 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.", "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/5e33ee13-3a81-481f-ad5e-018ca6e1f747", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/5e33ee13-3a81-481f-ad5e-018ca6e1f747/raw", + "View this dataset's algorithm theoretical basis document", + "View information related to this dataset", + "Download this dataset through a directory map", + "View this dataset's processing history" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/84ed7ee5-acc3-4e3e-a372-10fb7e42dfaa", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/84ed7ee5-acc3-4e3e-a372-10fb7e42dfaa/raw", "has_download": true, "has_spatial": true, - "identifier": "10.5067/9T5ZDUK9RY8Z", - "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": "2026-10-07T00:16:42.778427", + "identifier": "C1220566922-USGS_LTA", + "keyword": [ + "earth-science", + "land-surface", + "land-use-land-cover", + "national-geospatial-data-asset", + "ngda", + "sensor-characteristics", + "spectral-engineering", + "surface-radiative-properties", + "surface-thermal-properties" + ], + "last_harvested_date": "2026-10-07T01:03:58.027163", "organization": { "aliases": [ "" @@ -151,23 +128,24 @@ }, "parent_identifier": null, "popularity": 1, - "publisher": "NASA/GSFC/SED/ESD/TISL/GESDISC", - "slug": "sounder-sips-jpss-1-noaa-20-cris-level-3-climate-fingerprinting-sounder-product-climfisp-d", + "publisher": "DOI/USGS/EROS", + "slug": "ceos-cal-val-test-site-mauritania-1-pseudo-invariant-calibration-site-pics", "spatial_centroid": null, "spatial_shape": null, "theme": [ - "Earth Science" - ], - "title": "Sounder SIPS: JPSS-1/NOAA-20 CrIS Level 3 Climate Fingerprinting Sounder Product (ClimFiSP) Daily: Gridded Atmosphere, Cloud, and Surface Geophysical State V2", + "CWIC", + "geospatial" + ], + "title": "CEOS Cal Val Test Site - Mauritania 1 - Pseudo-Invariant Calibration Site (PICS)", "type": "dataset" }, { - "_score": 37.905888, + "_score": 8.884155, "_sort": [ - 1791332202420, - 37.905888, - 1, - "2a6a2ec1-1a13-4112-859d-23100d85fe11" + 1791334889357, + 8.884155, + 2, + "283777eb-31ff-4bd9-834e-6bcb0368ab5e" ], "access_level": "public", "dcat": { @@ -178,124 +156,83 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "The Climate Fingerprinting Sounder Product (ClimFiSP) Version 2 provides Level 3 daily and monthly atmospheric data including temperature profiles, water vapor, ozone, cloud properties, as well as surface properties, including skin temperature and emissivity. Data are available on a ½ by ½ degree grid. These geophysical variables are derived, via the ClimFiSP retrieval algorithm, from the Climate Hyperspectral Infrared Radiance Product (CHIRP), a Level 1 radiance product that harmonizes measurements from three different infrared sounding instruments: the AIRS sensor on EOS-Aqua and the CrIS sensors on the Suomi-NPP and NOAA-20 (JPSS-1) satellites. All three platforms follow similar sun-synchronous orbits, with CLIMFISP daily records including data for both the ascending (1:30 p.m.) and descending (1:30 a.m.) orbit passes. ClimFISP retrievals derived from each instrument are provided separately to facilitate detection of potential radiance biases between the CHIRP-AIRS and CHIRP-CrIS data records, and to evaluate their impact on the long-term data record formed by merging AIRS and CrIS data.", + "fn": "GREG STENSAAS", + "hasEmail": "mailto:stensaas@usgs.gov" + }, + "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:\r\n\r\nBackground:\r\n\r\nReference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities.\r\nRequirement:\r\n\r\nInitiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.\r\n\r\nInstrumented Sites:\r\nDome C, Antarctica is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner. In the longer-term it is anticipated that these sites will all be fully automated and provide surface and atmospheric measurements to the WWW in an autonomous manner reducing some of the cost of a manned campaign, at present three can operate in this manner.", "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/C3892818753-GES_DISC.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://disc.gsfc.nasa.gov/datacollection/SNDRJ1IL3SMCFSP_2.html", + "description": "Collection-specific granule Open Search Descriptor Document", + "downloadURL": "https://cmr.earthdata.nasa.gov/opensearch/granules/descriptor_document.xml?collectionConceptId=C1220566821-USGS_LTA", + "format": "application/opensearchdescription+xml", + "mediaType": "application/opensearchdescription+xml", + "title": "Retrieve the OpenSearch Get Capabilities document" + }, + { + "@type": "dcat:Distribution", + "description": "Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV) Test Sites.", + "downloadURL": "http://calvalportal.ceos.org/web/guest/home", "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/SNDRJ1IL3SMCFSP_2.png", - "format": "PNG", - "mediaType": "image/png" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Sounder/ClimFiSP.V2.ATBD.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://docserver.gesdisc.eosdis.nasa.gov/public/project/Sounder/ClimFiSP.V2.README_03182026.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C3892818753-GES_DISC", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://sounder.gesdisc.eosdis.nasa.gov/data/JPSS1_Sounder_Level3/SNDRJ1IL3SMCFSP.2/", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://sounder.gesdisc.eosdis.nasa.gov/opendap/JPSS1_Sounder_Level3/SNDRJ1IL3SMCFSP.2/", - "format": "BIN", - "mediaType": "application/octet-stream" + "mediaType": "text/html", + "title": "The dataset's project home page" } ], - "identifier": "10.5067/99YB6TKOY5MA", - "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": "2026-09-29", + "identifier": "C1220566821-USGS_LTA", + "issued": "1972-12-06", + "keyword": [ + "earth-science", + "land-surface", + "land-use-land-cover", + "national-geospatial-data-asset", + "ngda", + "sensor-characteristics", + "spectral-engineering", + "surface-radiative-properties", + "surface-thermal-properties" + ], + "landingPage": "https://cmr.earthdata.nasa.gov:443/search/concepts/C1220566821-USGS_LTA.html", + "language": [ + "en-US" + ], + "modified": "2025-03-31", "programCode": [ - "026:000" + "026:001" ], "publisher": { "@type": "org:Organization", - "name": "NASA/GSFC/SED/ESD/TISL/GESDISC" - }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "2018-02-01/2026-09-21", - "theme": [ - "Earth Science" - ], - "title": "Sounder SIPS: JPSS-1/NOAA-20 CrIS Level 3 Climate Fingerprinting Sounder Product (ClimFiSP) Monthly: Gridded Atmosphere, Cloud, and Surface Geophysical State V2" - }, - "description": "The Climate Fingerprinting Sounder Product (ClimFiSP) Version 2 provides Level 3 daily and monthly atmospheric data including temperature profiles, water vapor, ozone, cloud properties, as well as surface properties, including skin temperature and emissivity. Data are available on a ½ by ½ degree grid. These geophysical variables are derived, via the ClimFiSP retrieval algorithm, from the Climate Hyperspectral Infrared Radiance Product (CHIRP), a Level 1 radiance product that harmonizes measurements from three different infrared sounding instruments: the AIRS sensor on EOS-Aqua and the CrIS sensors on the Suomi-NPP and NOAA-20 (JPSS-1) satellites. All three platforms follow similar sun-synchronous orbits, with CLIMFISP daily records including data for both the ascending (1:30 p.m.) and descending (1:30 a.m.) orbit passes. ClimFISP retrievals derived from each instrument are provided separately to facilitate detection of potential radiance biases between the CHIRP-AIRS and CHIRP-CrIS data records, and to evaluate their impact on the long-term data record formed by merging AIRS and CrIS data.", + "name": "DOI/USGS/EROS" + }, + "spatial": "123.0 -76.6 131.18 -74.5", + "temporal": "1972-12-06T00:00:00Z/2023-02-28T00:00:00Z", + "theme": [ + "CWIC", + "geospatial" + ], + "title": "CEOS Cal Val Test Site - Dome C, Antarctica - Instrumented Site" + }, + "description": "On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:\r\n\r\nBackground:\r\n\r\nReference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities.\r\nRequirement:\r\n\r\nInitiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.\r\n\r\nInstrumented Sites:\r\nDome C, Antarctica is one of eight instrumented sites that are CEOS Reference Test Sites. The CEOS instrumented sites are provisionally being called LANDNET. These instrumented sites are primarily used for field campaigns to obtain radiometric gain, and these sites can serve as a focus for international efforts, facilitating traceability and inter-comparison to evaluate biases of in-flight and future instruments in a harmonized manner. 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ClimFISP retrievals derived from each instrument are provided separately to facilitate detection of potential radiance biases between the CHIRP-AIRS and CHIRP-CrIS data records, and to evaluate their impact on the long-term data record formed by merging AIRS and CrIS data.", + "fn": "undefined", + "hasEmail": "mailto:support-asdc@earthdata.nasa.gov" + }, + "description": "ATTREX-Aircraft_RemoteSensing_Temperature_Measurements are remotely sensed temperature profiles collected onboard the Global Hawk Unihabited Aerial System (UAS) during the Airborne Tropical TRopopause EXperiment (ATTREX) campaign. This collection consists of remotely sensed temperature profiles collected by the Microwave Temperature Profiler (MTP) during the 2011 and 2013 deployments over California, and 2014 deployment over Guam. Data collection is complete.\nEven though it is typically found in low concentrations, stratospheric water vapor has large impacts on the Earth’s climate and energy budget. 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The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M1.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200).", + "fn": "NSIDC Services", + "hasEmail": "mailto:nsidc@nsidc.org" + }, + "description": "This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of 240 m Antarctic Ice Sheet extent masks at roughly annual resolution from 1997 through 2021. The ice masks were generated by combining data acquired by multiple satellite-borne optical, thermal, and radar sensors. 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Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data variable. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the [VJ243MA1](https://doi.org/10.5067/VIIRS/VJ243MA1.002) product is stored in a separate file as VJ243D01 through VJ243D36. In addition to the bands included in VJ243MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ243D37 through VJ243D39. Details regarding methodology are available on the VJ243MA1 product page and in the Algorithm Theoretical Basis Document (ATBD).\n\nVJ243D03 is the BRDF geometric parameter for VIIRS band M1 (0.412 μm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M1.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200).", + "name": "NASA NSIDC DAAC" + }, + "spatial": "-180.0 -90.0 180.0 -57.6", + "temporal": "1997-10-01T00:00:00Z/2021-03-14T23:59:59.999Z", + "theme": [ + "geospatial" + ], + "title": "MEaSUREs ITS_LIVE Antarctic Annual 240 m Ice Sheet Extent Masks, 1997-2021 V001" + }, + "description": "This ITS_LIVE data set, part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program, consists of 240 m Antarctic Ice Sheet extent masks at roughly annual resolution from 1997 through 2021. The ice masks were generated by combining data acquired by multiple satellite-borne optical, thermal, and radar sensors. 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The VJ221C2 dataset is an 8-day composite LST&E product at 0.05 degree (~5,600 meter) resolution that uses an algorithm based on a simple-averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud-free VJ221A1D and VJ221A1N daily acquisitions from the 8-day period. Unlike the VJ221A1 datasets where the daytime and nighttime acquisitions are separate products, the VJ221C2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) variables within a single Hierarchical Data Format (HDF) file. \n\nThe overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ121C2 product contains 27 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ121C2 granule.\n\nKnown Issues:\n\n•\tFor complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS&sat=J2&as=5200).", + "fn": "NSIDC Services", + "hasEmail": "mailto:nsidc@nsidc.org" + }, + "description": "These data consist of soil moisture, soil temperature and precipitation measurements recorded in 2016 by the permanent soil moisture network; SMAPVEX16-Iowa. The sites were spread out over the experiment domain of about 30km by 40 km located about 30 km north of Ames, Iowa, USA.\n\nThe data file contains the soil moisture, soil temperature and precipitation measurements for each station located at the site.", "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/C2832144235-LPCLOUD.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/VJ221C2.002/VJ221C2.A2025361.002.2026013013434/BROWSE.VJ221C2.A2025361.002.2026013013434.1.jpg", - "format": "JPEG", - "mediaType": "image/jpeg" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://doi.org/10.5067/VIIRS/VJ221C2.002", - "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/1332/VNP21_ATBD_V1.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://lpdaac.usgs.gov/documents/1662/VNP21_User_Guide_V2.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C2832144235-LPCLOUD", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val/LST_Val.html", + "description": "Data Access link for ITSD project", + "downloadURL": "https://nsidc.org/data/data-access-tool/SV16I_PNET/versions/1/", "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val_overview.html", + "mediaType": "text/html", + "title": "Download this dataset" + }, + { + "@type": "dcat:Distribution", + "description": "Includes a user's guide, supplemental documents like ATBDs and academic papers, How Tos, FAQs, etc.", + "downloadURL": "https://doi.org/10.5067/P3ZUS77FW7JL", "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/centers/lp-daac", - "format": "BIN", - "mediaType": "application/octet-stream" + "mediaType": "text/html", + "title": "View documentation related to this dataset" + }, + { + "@type": "dcat:Distribution", + "description": "NASA's newest search and order tool for subsetting, reprojecting, and reformatting data.", + "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C1990819364-NSIDC_ECS&m=37.93418934207473%21-110.109375%214%211%210%210%2C2&tl=1594227826%214", + "format": "HTML", + "mediaType": "text/html", + "title": "Download this dataset through Earthdata Search" + }, + { + "@type": "dcat:Distribution", + "description": "Search results for publications that cite this dataset by its DOI.", + "downloadURL": "https://scholar.google.com/scholar?q=10.5067%2FP3ZUS77FW7JL", + "format": "HTML", + "mediaType": "text/html", + "title": "Google Scholar search results" } ], - "identifier": "10.5067/VIIRS/VJ221C2.002", - "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": "2026-09-29", + "identifier": "C2011917772-NSIDC_ECS", + "issued": "2016-05-01", + "keyword": [ + "atmospheric-ocean-indicators", + "climate-indicators", + "earth-science", + "land-surface-agriculture-indicators" + ], + "landingPage": "https://doi.org/10.5067/P3ZUS77FW7JL", + "language": [ + "en-US" + ], + "modified": "2025-07-17", "programCode": [ - "026:000" + "026:001" ], "publisher": { "@type": "org:Organization", - "name": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS" - }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "2023-02-10/2026-09-21", - "theme": [ - "Earth Science" - ], - "title": "VIIRS/JPSS2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG V002" - }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) 8-day Climate Modeling Grid Version 2 product (VJ221C2) combines the daily ([VJ221A1D](http://doi.org/10.5067/VIIRS/VJ221A1D.002)) and ([VJ221A1N](http://doi.org/10.5067/VIIRS/VJ221A1N.002)) products over an 8-day compositing period into a single product. The VJ221C2 dataset is an 8-day composite LST&E product at 0.05 degree (~5,600 meter) resolution that uses an algorithm based on a simple-averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud-free VJ221A1D and VJ221A1N daily acquisitions from the 8-day period. Unlike the VJ221A1 datasets where the daytime and nighttime acquisitions are separate products, the VJ221C2 contains both daytime and nighttime acquisitions as separate science dataset (SDS) variables within a single Hierarchical Data Format (HDF) file. \n\nThe overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ121C2 product contains 27 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ121C2 granule.\n\nKnown Issues:\n\n•\tFor complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS&sat=J2&as=5200).", + "name": "NASA NSIDC DAAC" + }, + "spatial": "-94.0 42.33 -93.22 42.82", + "temporal": "2016-05-01T00:00:00Z/2016-09-30T23:59:59.999Z", + "theme": [ + "geospatial" + ], + "title": "SMAPVEX16 Iowa Permanent Soil Moisture Network V001" + }, + "description": "These data consist of soil moisture, soil temperature and precipitation measurements recorded in 2016 by the permanent soil moisture network; SMAPVEX16-Iowa. The sites were spread out over the experiment domain of about 30km by 40 km located about 30 km north of Ames, Iowa, USA.\n\nThe data file contains the soil moisture, soil temperature and precipitation measurements for each station located at the site.", "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/8e491149-b9d2-4da5-938b-782c0eaf54a8", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/8e491149-b9d2-4da5-938b-782c0eaf54a8/raw", + "Download this dataset", + "View documentation related to this dataset", + "Download this dataset through Earthdata Search", + "Google Scholar search results" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/ab68b1ee-9207-48fd-b48e-aa5655e9e03b", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/ab68b1ee-9207-48fd-b48e-aa5655e9e03b/raw", "has_download": true, "has_spatial": true, - "identifier": "10.5067/VIIRS/VJ221C2.002", - "keyword": [ - "earth-science-surface-radiative-properties-land-surface-emissivity", - "earth-science-surface-thermal-properties-land-surface-land-surface-temperature" - ], - "last_harvested_date": "2026-10-07T00:16:26.833845", + "identifier": "C2011917772-NSIDC_ECS", + "keyword": [ + "atmospheric-ocean-indicators", + "climate-indicators", + "earth-science", + "land-surface-agriculture-indicators" + ], + "last_harvested_date": "2026-10-07T00:55:47.462312", "organization": { "aliases": [ "" @@ -924,24 +772,24 @@ "slug": "nasa" }, "parent_identifier": null, - "popularity": 1, - "publisher": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS", - "slug": "viirs-jpss2-land-surface-temperature-emissivity-8-day-l3-global-0-05deg-cmg-v002", + "popularity": 5, + "publisher": "NASA NSIDC DAAC", + "slug": "smapvex16-iowa-permanent-soil-moisture-network-v001", "spatial_centroid": null, "spatial_shape": null, "theme": [ - "Earth Science" - ], - "title": "VIIRS/JPSS2 Land Surface Temperature/Emissivity 8-Day L3 Global 0.05Deg CMG V002", + "geospatial" + ], + "title": "SMAPVEX16 Iowa Permanent Soil Moisture Network V001", "type": "dataset" }, { - "_score": 10.431437, + "_score": 19.475151, "_sort": [ - 1791332186459, - 10.431437, - 0, - "256b53fb-bb05-41ab-9528-227a68d399af" + 1791334224143, + 19.475151, + 1, + "5b226a7f-facb-4271-9a3b-0357c5f15656" ], "access_level": "public", "dcat": { @@ -952,110 +800,72 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VJ221C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily ([VJ221](https://doi.org/10.5067/VIIRS/VJ221.002)) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ221A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. \n\nThe overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ221C1 product contains 25 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ221C1 granule.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200) and in Section 4.0 of the User Guide.", + "fn": "EUGENE FOSNIGHT", + "hasEmail": "mailto:fosnight@usgs.gov" + }, + "description": "The Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:\n\nfoster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilizing observations, developing accepted methods and protocols, and promoting ongoing research and development; and work with national governments that report into international forest assessments (such as the global Forest Resources Assessment (FRA) of the Food and Agriculture Organization, FAO) and the national greenhouse gas inventories reported to the UN Framework Convention on Climate Change (UNFCCC) using methods of the Intergovernmental Panel on Climate Change (IPCC).", "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/C2831732284-LPCLOUD.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/VJ221C1.002/VJ221C1.A2026098.002.2026099110055/BROWSE.VJ221C1.A2026098.002.2026099110055.1.jpg", - "format": "JPEG", - "mediaType": "image/jpeg" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://doi.org/10.5067/VIIRS/VJ221C1.002", - "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/1332/VNP21_ATBD_V1.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://lpdaac.usgs.gov/documents/1662/VNP21_User_Guide_V2.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C2831732284-LPCLOUD", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val/LST_Val.html", + "description": "Query and order satellite images, aerial photographs, and cartographic products through the U.S. Geological Survey. Log in as a guest or as a registered user. Registered users have access to more features than guests do. If you plan on using EarthExplorer frequently, you may wish to register. Please note that this site uses Session Cookies and Java applets.", + "downloadURL": "http://earthexplorer.usgs.gov", "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val_overview.html", - "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/centers/lp-daac", - "format": "BIN", - "mediaType": "application/octet-stream" + "mediaType": "text/html", + "title": "Download this dataset" } ], - "identifier": "10.5067/VIIRS/VJ221C1.002", - "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": "2026-09-29", + "identifier": "C1220567235-USGS_LTA", + "issued": "1972-10-31", + "keyword": [ + "agriculture", + "biosphere", + "earth-science", + "forest-science", + "habitat-conversion-fragmentation", + "human-dimensions", + "terrestrial-ecosystems", + "vegetation" + ], + "landingPage": "https://cmr.earthdata.nasa.gov:443/search/concepts/C1220567235-USGS_LTA.html", + "language": [ + "en-US" + ], + "modified": "2025-07-17", "programCode": [ - "026:000" + "026:001" ], "publisher": { "@type": "org:Organization", - "name": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS" - }, - "spatial": "[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "2023-02-10/2026-09-21", - "theme": [ - "Earth Science" - ], - "title": "VIIRS/JPSS2 Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V002" - }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VJ221C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily ([VJ221](https://doi.org/10.5067/VIIRS/VJ221.002)) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ221A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. \n\nThe overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ221C1 product contains 25 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ221C1 granule.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200) and in Section 4.0 of the User Guide.", + "name": "DOI/USGS/EROS" + }, + "spatial": "6.31 0.46 17.86 14.17", + "temporal": "1972-10-31T00:00:00Z/2022-01-17T00:00:00Z", + "theme": [ + "CWIC", + "geospatial" + ], + "title": "USGS Global Forest Observations Initiative (GFOI) Cameroon" + }, + "description": "The Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:\n\nfoster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilizing observations, developing accepted methods and protocols, and promoting ongoing research and development; and work with national governments that report into international forest assessments (such as the global Forest Resources Assessment (FRA) of the Food and Agriculture Organization, FAO) and the national greenhouse gas inventories reported to the UN Framework Convention on Climate Change (UNFCCC) using methods of the Intergovernmental Panel on Climate Change (IPCC).", "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/0e0c4d86-5aed-4b61-b420-314eb86de68f", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/0e0c4d86-5aed-4b61-b420-314eb86de68f/raw", + "Download this dataset" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/d617e5df-4788-421c-9f05-109b4a9e2adc", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/d617e5df-4788-421c-9f05-109b4a9e2adc/raw", "has_download": true, "has_spatial": true, - "identifier": "10.5067/VIIRS/VJ221C1.002", - "keyword": [ - "earth-science-surface-radiative-properties-land-surface-emissivity", - "earth-science-surface-thermal-properties-land-surface-land-surface-temperature" - ], - "last_harvested_date": "2026-10-07T00:16:26.459934", + "identifier": "C1220567235-USGS_LTA", + "keyword": [ + "agriculture", + "biosphere", + "earth-science", + "forest-science", + "habitat-conversion-fragmentation", + "human-dimensions", + "terrestrial-ecosystems", + "vegetation" + ], + "last_harvested_date": "2026-10-07T00:50:24.143962", "organization": { "aliases": [ "" @@ -1070,24 +880,25 @@ "slug": "nasa" }, "parent_identifier": null, - "popularity": 0, - "publisher": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS", - "slug": "viirs-jpss2-land-surface-temperature-emissivity-daily-l3-global-0-05deg-cmg-v002", + "popularity": 1, + "publisher": "DOI/USGS/EROS", + "slug": "usgs-global-forest-observations-initiative-gfoi-cameroon", "spatial_centroid": null, "spatial_shape": null, "theme": [ - "Earth Science" - ], - "title": "VIIRS/JPSS2 Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V002", + "CWIC", + "geospatial" + ], + "title": "USGS Global Forest Observations Initiative (GFOI) Cameroon", "type": "dataset" }, { - "_score": 15.287103, + "_score": 14.774827, "_sort": [ - 1791332186092, - 15.287103, - 0, - "c263e347-a051-428f-8528-85360f17e03f" + 1791334192216, + 14.774827, + 4, + "4dc706d9-79ee-4c5a-a2f6-a720bd3b51f1" ], "access_level": "public", "dcat": { @@ -1098,110 +909,52 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) monthly Climate Modeling Grid Version 2 product (VJ221C3) provides LST&E by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (~5,600 meter) resolution. The VJ221C3 dataset is a monthly composite LST&E product that uses an algorithm based on a simple averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud free [VJ221A1D](https://doi.org/10.5067/VIIRS/VJ221A1D.002) and [VJ221A1N](https://doi.org/10.5067/VIIRS/VJ221A1N.002) daily acquisitions from the monthly period. Unlike the VJ221A1 data sets where the daytime and nighttime acquisitions are separate products, the VJ221C3 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) variables within a single Hierarchical Data Format (HDF) file. \n\nAdditional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ221C3 product contains 27 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ221C3 granule.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200).", - "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/C2832144803-LPCLOUD.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://data.lpdaac.earthdatacloud.nasa.gov/lp-prod-public/VJ221C3.002/VJ221C3.A2026032.002.2026060120942/BROWSE.VJ221C3.A2026032.002.2026060120942.1.jpg", - "format": "JPEG", - "mediaType": "image/jpeg" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://doi.org/10.5067/VIIRS/VJ221C3.002", - "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/1332/VNP21_ATBD_V1.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://lpdaac.usgs.gov/documents/1662/VNP21_User_Guide_V2.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C2832144803-LPCLOUD", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val/LST_Val.html", - "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val_overview.html", - "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/centers/lp-daac", - "format": "BIN", - "mediaType": "application/octet-stream" - } - ], - "identifier": "10.5067/VIIRS/VJ221C3.002", - "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": "2026-09-29", + "fn": "Parnchai Sawaengphokhai", + "hasEmail": "mailto:parnchai.k.sawaengphokhai@nasa.gov" + }, + "description": "FLASH_SSF_Terra-FM1-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A data product. This product consist of of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes. \r\n\r\nFLASHFlux data are a product line of the CERES project designed for processing and release of TOA and surface radiative fluxes for applied sciences and educations uses. The FLASHFlux data product is a rapid release product based upon the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecrafts. While of exceptional fidelity, these data products require a considerable amount of processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquisition of the initial measurements. For climate studies, such delays are of little consequence especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. \r\n\r\nThe SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from the GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher imager resolution and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and clouds information. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (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 EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite.", + "identifier": "C1719289020-LARC_ASDC", + "issued": "2020-08-01", + "keyword": [ + "atmosphere", + "atmospheric-radiation", + "clouds", + "earth-science" + ], + "landingPage": "https://doi.org/10.5067/CERES/FLASH_SSF_Terra-FM1-MODIS_Version4A", + "language": [ + "en-US" + ], + "modified": "2025-07-17", "programCode": [ - "026:000" + "026:001" ], "publisher": { "@type": "org:Organization", - "name": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS" - }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "2023-02-01/2026-09-21", - "theme": [ - "Earth Science" - ], - "title": "VIIRS/JPSS2 Land Surface Temperature/Emissivity Monthly L3 Global 0.05Deg CMG V002" - }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) monthly Climate Modeling Grid Version 2 product (VJ221C3) provides LST&E by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (~5,600 meter) resolution. The VJ221C3 dataset is a monthly composite LST&E product that uses an algorithm based on a simple averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud free [VJ221A1D](https://doi.org/10.5067/VIIRS/VJ221A1D.002) and [VJ221A1N](https://doi.org/10.5067/VIIRS/VJ221A1N.002) daily acquisitions from the monthly period. Unlike the VJ221A1 data sets where the daytime and nighttime acquisitions are separate products, the VJ221C3 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) variables within a single Hierarchical Data Format (HDF) file. \n\nAdditional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).\n\nThe VJ221C3 product contains 27 variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ221C3 granule.\n\nKnown Issues\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=VIIRS&sat=J2&as=5200).", - "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/f411dbc6-ead7-4c80-a438-1bec3dcae508", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/f411dbc6-ead7-4c80-a438-1bec3dcae508/raw", - "has_download": true, + "name": "NASA/LARC/SD/ASDC" + }, + "spatial": "<?xml version=\"1.0\" encoding=\"UTF-8\"?><gml:Polygon xmlns:gml=\"http://www.opengis.net/gml/3.2\" srsName=\"EPSG:9825\"><gml:outerBoundaryIs><gml:LinearRing><gml:posList>-90.0 -180.0 -90.0 180.0 90.0 180.0 90.0 -180.0 -90.0 -180.0</gml:posList></gml:LinearRing></gml:outerBoundaryIs><gml:innerBoundaryIs></gml:innerBoundaryIs></gml:Polygon>", + "temporal": "2019-01-01T00:00:00Z/2022-01-17T00:00:00Z", + "theme": [ + "FLASHFLUX", + "geospatial" + ], + "title": "Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A" + }, + "description": "FLASH_SSF_Terra-FM1-MODIS_Version4A is the Fast Longwave And Shortwave Radiative Fluxes (FLASHFlux) Clouds and Radiative Swath (SSF) TERRA-FM1 data in HDF Version 4A data product. This product consist of of Low latency (< 5 days from observation) Top-of-Atmosphere (TOA) fluxes and parameterized surface radiative fluxes at Clouds and the Earth's Radiant Energy Systems (CERES) Single Scanner Footprint (SSF) level for quick-look purposes. \r\n\r\nFLASHFlux data are a product line of the CERES project designed for processing and release of TOA and surface radiative fluxes for applied sciences and educations uses. The FLASHFlux data product is a rapid release product based upon the algorithms developed for and data collected by the CERES project. CERES is currently producing world-class climate data products derived from measurements taken aboard NASA's Terra and Aqua spacecrafts. While of exceptional fidelity, these data products require a considerable amount of processing time to assure quality, verify accuracy, and assess precision. The result is that CERES data are typically released up to six months after acquisition of the initial measurements. For climate studies, such delays are of little consequence especially considering the improved quality of the released data products. Thus, FLASHFlux products are not intended to achieve climate quality. FLASHFlux data products were envisioned as a resource whereby CERES data could be provided to the community within a few days of the initial measurements, with some calibration accuracy requirements relaxed to gain speed. \r\n\r\nThe SSF TOA/Surface Fluxes and Clouds product contains one hour of instantaneous FLASHFlux data for a single CERES scanner instrument. The SSF combines instantaneous CERES data with scene information from a higher-resolution imager such as Moderate-Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua satellites and meteorological and ozone information from the GEOS-5 FP-IT Atmospheric Data Assimilation System (GEOS-5 ADAS). Scene identification and cloud properties are defined at the higher imager resolution and these data are averaged over the larger CERES footprint. For each CERES footprint, the SSF contains Top-of-Atmosphere fluxes in SW, LW, and NET, surface fluxes using the Langley parameterized shortwave and longwave algorithms, and clouds information. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES mission is a follow on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (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 EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. 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Special payable concern to the Bay of Bengal has been paid that can dictate region’s climate to certain extent. The ecosystems’ impact due to climate change and global warming -can bring direct variables and affects in –salinity, temperature, river flow, runoff, soil characteristics, erosion, nutrition level and water quality. The landscape mapping can address the system infrastructure requirements to the SEAR’s sea basin attainable by the annual monsoons, the Southwest and the Northeast Monsoons. How recent meteorological and geodynamic-genetic events can result in adverse economical damages and significant losses of lives are also drawn. This work monitors on Sea-level rise gets projected under global warming. The most brainstorming findings from climate change issues are how the high latitudes for SEAR Sea Basins’ are likely to experience greater warming than the global mean and warming,- And how the hydrological cycle gets found responsible for bringing more floods and more droughts in- causing huge devastating changes for environmental factors in coastal zones", + "identifier": "DASHLINK_720", + "issued": "2013-05-08", + "keyword": [ + "ames", + "dashlink", + "nasa" + ], + "landingPage": "https://c3.nasa.gov/dashlink/resources/720/", + "modified": "2025-07-17", "programCode": [ - "026:000" + "026:029" ], "publisher": { "@type": "org:Organization", - "name": "NSIDC" - }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": 90.0, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": 30.1}, {\"WestBoundingCoordinate\": -180.0, \"NorthBoundingCoordinate\": -39.2, \"EastBoundingCoordinate\": 180.0, \"SouthBoundingCoordinate\": -90.0}]]", - "theme": [ - "Earth Science" - ], - "title": "Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4" - }, - "description": "This data set provides a near-real-time Climate Data Record (CDR) of sea ice concentration from passive microwave data. The Near-real-time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (NRT CDR) data set is the near-real-time version of the final NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration (G02202). The NRT CDR is designed to fill the temporal gap between updates of the final CDR to provide the most recent data. It provides the most recent 3 months of data.", - "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/8b5bea63-41dd-40d1-afa9-8c14dc93c53a", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/8b5bea63-41dd-40d1-afa9-8c14dc93c53a/raw", - "has_download": true, - "has_spatial": true, - "identifier": "10.7265/tm2n-1m33", - "keyword": [ - "earth-science-sea-ice-cryosphere-sea-ice-concentration" - ], - "last_harvested_date": "2026-10-07T00:16:23.185540", + "name": "Dashlink" + }, + "title": "South-East Asian Region (SEAR): Sea Basin Landscape Mapping for Paleoclimatology & Recent Climate Change Impacts" + }, + "description": "The objective of this work includes the coastal scenario, risks and development of coastal paleoclimatology through landscape mapping; by highlighting the devastating climate change impacts that might result in tsunami in South-East Asian sea basin with short or no-awareness period; despite the facts that the Southeast Asia region is generally poor being encompassed by twelve countries along with the Indian and Pacific Oceans. Special payable concern to the Bay of Bengal has been paid that can dictate region’s climate to certain extent. The ecosystems’ impact due to climate change and global warming -can bring direct variables and affects in –salinity, temperature, river flow, runoff, soil characteristics, erosion, nutrition level and water quality. The landscape mapping can address the system infrastructure requirements to the SEAR’s sea basin attainable by the annual monsoons, the Southwest and the Northeast Monsoons. How recent meteorological and geodynamic-genetic events can result in adverse economical damages and significant losses of lives are also drawn. This work monitors on Sea-level rise gets projected under global warming. The most brainstorming findings from climate change issues are how the high latitudes for SEAR Sea Basins’ are likely to experience greater warming than the global mean and warming,- And how the hydrological cycle gets found responsible for bringing more floods and more droughts in- causing huge devastating changes for environmental factors in coastal zones", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/8111be0b-4594-418c-87e4-1b170b35a2f9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/8111be0b-4594-418c-87e4-1b170b35a2f9/raw", + "has_download": false, + "has_spatial": false, + "identifier": "DASHLINK_720", + "keyword": [ + "ames", + "dashlink", + "nasa" + ], + "last_harvested_date": "2026-10-07T00:48:32.641291", "organization": { "aliases": [ "" @@ -1317,24 +1048,22 @@ "slug": "nasa" }, "parent_identifier": null, - "popularity": 5, - "publisher": "NSIDC", - "slug": "near-real-time-noaa-nsidc-climate-data-record-of-passive-microwave-sea-ice-concentration-v-a297d", + "popularity": 7, + "publisher": "Dashlink", + "slug": "south-east-asian-region-sear-sea-basin-landscape-mapping-for-paleoclimatology-recent-clima", "spatial_centroid": null, "spatial_shape": null, - "theme": [ - "Earth Science" - ], - "title": "Near-Real-Time NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration, Version 4", + "theme": [], + "title": "South-East Asian Region (SEAR): Sea Basin Landscape Mapping for Paleoclimatology & Recent Climate Change Impacts", "type": "dataset" }, { - "_score": 14.42295, + "_score": 48.415024, "_sort": [ - 1791332181153, - 14.42295, - 2, - "631010db-6c40-48ce-8d8d-1f4fe11614b4" + 1791334063771, + 48.415024, + 7, + "4ddd6b8f-568e-4541-9540-7f348aa86bec" ], "access_level": "public", "dcat": { @@ -1345,92 +1074,95 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "This dataset provides Global Navigation Satellite System (GNSS) Radio Occultation (RO) Excess Phase and Amplitude data from the GRACE (Gravity Recovery and Climate Experiment) mission as contributed by the European Organisation for the Exploitation of Meteorological Satellites. 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Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format.", "distribution_titles": [ "Original Metadata" ], - "harvest_record": "https://catalog.data.gov/harvest_record/8948bf10-d1d3-4417-9b35-bf6fb464323b", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/8948bf10-d1d3-4417-9b35-bf6fb464323b/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/ae2be653-d270-42ed-803b-49eb27e887c9", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/ae2be653-d270-42ed-803b-49eb27e887c9/raw", "has_download": true, "has_spatial": true, - "identifier": "10.5067/0JXZCGCF27CS", - "keyword": [ - "earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution", - "earth-science-radio-occultation-profiles-atmosphere-excess-phase" - ], - "last_harvested_date": "2026-10-07T00:16:20.459737", + "identifier": "/SDE/CMR_API/|C2674700048-LPCLOUD", + "keyword": [ + "earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes", + "earth-science-precipitation-atmosphere-snow-water-equivalent", + "earth-science-soils-land-surface-soil-moisture-water-content", + "earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements" + ], + "last_harvested_date": "2026-10-07T00:37:42.317253", "organization": { "aliases": [ "" @@ -1702,23 +1382,23 @@ }, "parent_identifier": null, "popularity": 1, - "publisher": "NASA/GSFC/SED/ESD/TISL/GESDISC", - "slug": "gnss-radio-occultation-l1b-excess-phase-and-amplitude-for-grace-as-contributed-by-ucar-v2-", + "publisher": "DOI/NPS", + "slug": "monthly-historical-water-balance-products-for-the-conus-c5498", "spatial_centroid": null, "spatial_shape": null, "theme": [ "Earth Science" ], - "title": "GNSS radio occultation L1B excess phase and amplitude for GRACE as contributed by UCAR, V2.0 (gnssro_grace_ucar_l1b)", + "title": "Monthly Historical Water Balance Products for the CONUS", "type": "dataset" }, { - "_score": 14.339381, + "_score": 13.088734, "_sort": [ - 1791332178073, - 14.339381, + 1791333379301, + 13.088734, 1, - "9224a966-39d4-48b6-94b1-cfaff67d55cc" + "7f600bfa-0597-4655-9920-b12860ed46a2" ], "access_level": "public", "dcat": { @@ -1732,93 +1412,99 @@ "fn": "Earthdata Forum", "hasEmail": "mailto:earthdata-support@nasa.gov" }, - "description": "This dataset provides Global Navigation Satellite System (GNSS) Radio Occultation (RO) Bending Angle, Refractivity, and Dry Pressure data from the Constellation Observing System for Meteorology Ionosphere & Climate - 1 mission as contributed by the University Corporation for Atmospheric Research. 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Users apply SST to detect fronts and eddies, monitor marine heatwaves, drive ecosystem and habitat models (when paired with chlor_a, Kd_490, PAR), and provide boundary conditions for biogeochemical and climate analyses. 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"identifier": "10.5067/O8K58JU4A0SW", - "keyword": [ - "earth-science-altitude-atmosphere", - "earth-science-altitude-atmosphere-geopotential-height", - "earth-science-radio-occultation-profiles-atmosphere-bending-angle", - "earth-science-radio-occultation-profiles-atmosphere-refractivity" + "identifier": "/SDE/CMR_API/|C3166805844-OB_DAAC", + "keyword": [ + "earth-science-ocean-temperature-oceans-sea-surface-temperature" ], "license": "https://www.usa.gov/government-works", - "modified": "2026-09-29", + "modified": "2026-09-28", "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": "2007-03-01/2016-12-31", + "name": "NASA/GSFC/SED/ESD/GCDC/OB.DAAC;OBPG" + }, + "spatial": "[\"CARTESIAN\", [{\"SouthBoundingCoordinate\": -90, \"WestBoundingCoordinate\": -180, \"NorthBoundingCoordinate\": 90, \"EastBoundingCoordinate\": 180}]]", + "temporal": "2017-11-29/2026-09-21", "theme": [ "Earth Science" ], - 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Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.", + "description": "CAL_IIR_L1_CAL-Standard-V3-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Infrared ImagingRadiometer (IIR) Level 1 Calibration, Version 3-00 data product. The IIR calibration data product contains the Space View and Blackbody images with the gains derived in each channel. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006, to study the many roles clouds and aerosols play in Earth’s climate and weather. 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"identifier": "10.5067/ASDC/NAAMES_TraceGas_AircraftInSitu_Data_1", - "keyword": [ - "earth-science-air-quality-atmosphere-volatile-organic-compounds", - "earth-science-atmospheric-chemistry-atmosphere", - "earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds", - "earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds", - "earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species", - "earth-science-atmospheric-water-vapor-atmosphere", - "earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators" + "identifier": "10.5067/IIR/CALIPSO/CAL_IIR_L1_CAL-Standard-V3-00", + "keyword": [ + "earth-science-visible-wavelengths-spectral-engineering-visible-radiance" ], "license": "https://www.usa.gov/government-works", "modified": "2026-09-29", @@ -2823,32 +2288,26 @@ "@type": "org:Organization", "name": "NASA/LARC/SD/ASDC" }, - "spatial": "[\"CARTESIAN\", [{\"WestBoundingCoordinate\": -80, \"EastBoundingCoordinate\": 0, \"SouthBoundingCoordinate\": 0, \"NorthBoundingCoordinate\": 65}]], Maximum Altitude, 9999.9", - "temporal": "2015-11-12/2017-09-20", + "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": "2006-06-12/2023-06-30", "theme": [ "Earth Science" ], - "title": "NAAMES C-130 Trace Gas In Situ Data, Version 1" - }, - "description": "NAAMES_TraceGas_AircraftInSitu_Data are in situ trace gas measurements collected onboard the C-130 aircraft during the North Atlantic Aerosols and Marine Ecosystems Study (NAAMES). These measurements were collected from November 4, 2015 – November 29, 2015, May 11, 2016 – June 5, 2016 and August 30, 2017-September 22, 2017 over the North Atlantic Ocean. The primary objective of NAAMES was to resolve key processes controlling ocean system function, their influences on atmospheric aerosols and clouds and their implications for climate. The airborne products link local-scale processes and properties to the larger scale continuous satellite record. Data collection for this product is complete. \r\n\r\nThe NASA North Atlantic Aerosols and Marine Ecosystems Study (NAAMES) project was the first NASA Earth Venture – Suborbital mission focused on studying the coupled ocean ecosystem and atmosphere. NAAMES utilizes a combination of ship-based, airborne, autonomous sensor, and remote sensing measurements that directly link ocean ecosystem processes, emissions of ocean-generated aerosols and precursor gases, and subsequent atmospheric evolution and processing. Four deployments coincide with the seasonal cycle of phytoplankton in the North Atlantic Ocean: the Winter Transition (November 5 – December 2, 2015), the Bloom Climax (May 11 – June 5, 2016), the Deceleration Phase (August 30 – September 24, 2017), and the Acceleration Phase (March 20 – April 13, 2018). Ship-based measurements were conducted from the Woods Hole Oceanographic Institution Research Vessel Atlantis in the middle of the North Atlantic Ocean, while airborne measurements were conducted on a NASA Wallops Flight Facility C-130 Hercules that was based at St. John's International Airport, Newfoundland, Canada. Data products in the ASDC archive focus on the NAAMES atmospheric aerosol, cloud, and trace gas data from the ship and aircraft, as well as related satellite and model data subsets. While a few ocean-remote sensing data products (e.g., from the high-spectral resolution lidar) are also included in the ASDC archive, most ocean data products reside in a companion archive at SeaBass.", + "title": "CALIPSO IIR Level 1 Calibration data" + }, + "description": "CAL_IIR_L1_CAL-Standard-V3-00 is the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Infrared ImagingRadiometer (IIR) Level 1 Calibration, Version 3-00 data product. The IIR calibration data product contains the Space View and Blackbody images with the gains derived in each channel. CALIPSO was a partnership between NASA and the French Space Agency, CNES. CALIPSO was launched on April 28, 2006, to study the many roles clouds and aerosols play in Earth’s climate and weather. 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The constrained profiles outperform CALIOP V4.51 operational retrievals, reducing both bias and root-mean-square differences by nearly a factor of two. \n\nThese constrained CALIOP aerosol extinction profiles are valuable for various applications, including estimating PM2.5 concentrations and reducing uncertainties in aerosol radiative forcing.", + "description": "CAL_IIR_L3_GEWEX_Cloud-Standard-V2-00_V2-00 are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Infrared Imaging Radiometer (IIR) Level 3 Cloud products for the Global Energy and Water Cycle Experiment (GEWEX) Cloud Assessment. The IIR Level 3 GEWEX Cloud product reports global distributions of IIR cloud effective radius and water path averages and histograms on a uniform2-dimensional (2D) spatial grid. Cloud amount, radiative temperature, effective emissivity, and optical depth characterize the cloud samples for which IIR microphysical retrievals are reported. 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Cloud amount, radiative temperature, effective emissivity, and optical depth characterize the cloud samples for which IIR microphysical retrievals are reported. The statistics are reported for atmospheric columns containing only ice clouds, only liquid water clouds, and only high ice clouds of layer pressure lower than 440 hPa. 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’s 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 “C-Train”. 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/31a2c1f9-f305-4333-bd9c-17f0529df7ac", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/31a2c1f9-f305-4333-bd9c-17f0529df7ac/raw", + "harvest_record": "https://catalog.data.gov/harvest_record/4452a593-6fec-4b49-b4b2-b4ceb9b9b3dd", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/4452a593-6fec-4b49-b4b2-b4ceb9b9b3dd/raw", "has_download": true, "has_spatial": true, - "identifier": "10.5067/CALIOP_MODIS_MERRA2/CALIOP_Constrained_Aerosol_Extinction_DTDB_L2.001", - "keyword": [ - "earth-science-aerosols-atmosphere-aerosol-extinction" - ], - "last_harvested_date": "2026-10-07T00:16:03.062357", + "identifier": "10.5067/CALIOP/CALIPSO/CAL_LID_L3_GEWEX_Cloud-Standard-V2-00", + "keyword": [ + "earth-science-clouds-atmosphere" + ], + "last_harvested_date": "2026-10-07T00:28:14.007585", "organization": { "aliases": [ "" @@ -2979,22 +2492,22 @@ "parent_identifier": null, "popularity": 1, "publisher": "NASA/LARC/SD/ASDC", - "slug": "caliop-clear-sky-constrained-aerosol-extinction-profiles-dtdb-version-1", + "slug": "calipso-iir-lidar-level-3-global-energy-and-water-cycle-experiment-gewex-cloud-standard-00-bd8f5", "spatial_centroid": null, "spatial_shape": null, "theme": [ "Earth Science" ], - "title": "CALIOP Clear-Sky Constrained Aerosol Extinction Profiles DTDB Version 1", + "title": "CALIPSO IIR Lidar Level 3 Global Energy and Water Cycle Experiment (GEWEX) Cloud, Standard V2-00", "type": "dataset" }, { - "_score": 14.8022175, + "_score": 12.06495, "_sort": [ - 1791332151049, - 14.8022175, - 0, - "e239a52c-c4d0-48a9-b2ff-66c211d4a7c4" + 1791332892143, + 12.06495, + 2, + "2385e176-92c6-4a9d-b8ad-e648698f4262" ], "access_level": "public", "dcat": { @@ -3008,77 +2521,114 @@ "fn": "Earthdata Forum", "hasEmail": "mailto:earthdata-support@nasa.gov" }, - "description": "The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band NIR (VJ243D77) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer. \n\nVJ243D54 through VJ243D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the [VJ243MA3](https://doi.org/10.5067/VIIRS/VJ243MA3.002) product. In addition to the bands included in VJ243MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VJ243MA3 product page and in the Algorithm Theoretical Basis Document (ATBD).\n\nVJ243D77 is the WSA for the VIIRS NIR broadband (0.865 μm).\n\n\nKnown Issues\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=VIIRS&sat=J2&as=5200).", + "description": "CAL_IIR_L2_Swath-Standard-V5-00_V5-00 are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) Infrared Imaging Radiometer (IIR) Level 2 Swath data. The IIR Level 2 swath data product contains half orbit of IIR emissivity and cloud particle data assigned to IIR pixels on a 1 km grid centered on the CALIPSO lidar (CALIOP) 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’s 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 “C-Train”. 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/C2843575921-LPCLOUD.iso19115", + "downloadURL": "https://cmr.earthdata.nasa.gov/search/concepts/C3964849224-LARC_CLOUD.iso19115", "format": "ISO", "mediaType": "text/xml", "title": "Original Metadata" }, { "@type": "dcat:Distribution", - "downloadURL": "https://doi.org/10.5067/VIIRS/VJ243D77.002", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ladsweb.modaps.eosdis.nasa.gov/filespec/VIIRS/1/VNP43D77", - "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/194/VNP43_ATBD_V1.pdf", - "format": "PDF", - "mediaType": "application/pdf" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C2843575921-LPCLOUD", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val/Albedo_Val.html", + "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_iir_l2_v5-00_swath_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/C3964849224-LARC_CLOUD", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://doi.org/10.5067/IIR/CALIPSO/CAL_IIR_L2_Swath-Standard-V5-00", "format": "HTML", "mediaType": "text/html" }, { "@type": "dcat:Distribution", - "downloadURL": "https://viirsland.gsfc.nasa.gov/Val_overview.html", - "format": "HTML", - "mediaType": "text/html" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/centers/lp-daac", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.umb.edu/spectralmass/viirs-user-guides-c1-and-c2/vnp43d-cmg-30-arc-second-products/", + "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=C3964849224-LARC_CLOUD", "format": "BIN", "mediaType": "application/octet-stream" } ], - "identifier": "10.5067/VIIRS/VJ243D77.002", - "keyword": [ - "earth-science-surface-radiative-properties-land-surface-albedo", - "earth-science-surface-radiative-properties-land-surface-anisotropy", - "earth-science-surface-radiative-properties-land-surface-reflectance" + "identifier": "10.5067/IIR/CALIPSO/CAL_IIR_L2_Swath-Standard-V5-00", + "keyword": [ + "earth-science-atmospheric-radiation-atmosphere-emissivity", + "earth-science-clouds-atmosphere-cloud-radiative-transfer", + "earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature", + "earth-science-precipitation-atmosphere-precipitation-profiles" ], "license": "https://www.usa.gov/government-works", "modified": "2026-09-29", @@ -3087,30 +2637,31 @@ ], "publisher": { "@type": "org:Organization", - "name": "LP DAAC;NASA/GSFC/SED/ESD/TISL/LandSIPS;UMASS-B/SFE" - }, - "s