CivicMemory

Timeline / Data.gov — Climate Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 80 line(s) added, 80 line(s) removed.

Evidence

SourceData.gov — Climate Datasets
AgencyData.gov
URLhttps://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 2026-09-12T12:17:40+00:00
Content typeapplication/json
Current object 705f43d43e7f7c044074b3e8833b660f1a6931b7e97e9fc272cd27dfcdb962da download raw metadata
Previous object a0b3cb2e20dac08c2e90140cb80ae986f15ee681ea6734b9ee5a97de73363bfa download raw metadata

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-09-12T12:17:40+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 80 line(s) added, 80 line(s) removed.

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- "description": "Global climate models (GCMs) are computationally intensive, physics-based research tools used to simulate the climate system. GCM can also be useful in applied research contexts with the use of statistical downscaling techniques. This collection of statistically downscaled climate projections includes 7 sets of SD-processed CMIP5 projections and 12 sets of SD-processed CMIP6 projections of daily high temperature, daily low temperature, and daily total precipitation across the Edwards Aquifer Region (EAR) in south central Texas. These sets of projections were created using four GCMs from the CMIP5 archive (CMCC-CM, HadGEM2-CC, inmcm4, MRI-ESM1) and six GCMs from the CMIP6 archive (EC-Earth3, INM-CM-4-8, INM-CM-5-0, KACE-1-0-G, KIOST-ESM, and MPI-ESM1-2-HR), each of which simulated 21st century climate responses for multiple future emissions scenarios. The CMIP5 GCMs simulated response under the representative concentration pathways (RCPs) 4.5 and 8.5. The CMIP6 GCMs simulated response under the shared socioeconomic pathways (SSPs) 2-4.5 and 5-8.5. The equi-distant quantile mapping method (EDQM) was used for statistical downscaling with the Daymet v. 4 as the observational data used for training. The resulting SD-processed projections are on a 1 km by 1 km grid covering the EAR in south central Texas (100.75 degress E to 97.5 degrees E, 28.75 degrees N to 30.50 degrees N). Both historical baseline files (1980-2005 for CMIP5 and 1980-2014 for CMIP6) and future projections (2006-2100 for CMIP5 and 2015-2100 for CMIP6) are provided.\nApplied researchers may explore aspects of pote
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