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NASA Earth Exchange Downscaled Climate Projections 30 Arcseconds CMIP6
Bridget Thrasher1, Sepideh Khajehei2, John B Kim3
1Climate Analytics Group, Dayton, VA, 22821, USA. bridget@climateanalyticsgroup.org.
Scientific Data
|December 18, 2024
Summary
The NASA Earth eXchange Downscaled Climate Projections (NEX-DCP30-CMIP6) archive offers high-resolution climate data. This dataset provides crucial downscaled historical and future climate projections for the United States.
Area of Science:
- Climate Science
- Earth System Science
- Environmental Modeling
Background:
- Climate model intercomparison projects (CMIP) are crucial for understanding future climate scenarios.
- Downscaled climate projections provide higher spatial resolution crucial for regional impact studies.
- The NASA Earth eXchange (NEX) initiative provides valuable climate data resources.
Purpose of the Study:
- To introduce the latest version of the NASA Earth eXchange Downscaled Climate Projections (NEX-DCP30-CMIP6) archive.
- To provide access to downscaled historical and future climate projections at a 30-arcsecond resolution.
- To support climate change research and impact assessments across the coterminous United States.
Main Methods:
- Utilized a daily variant of the monthly bias correction/spatial disaggregation (BCSD) method.
- Downscaled climate data from thirty global climate models participating in CMIP6.
- Processed data for historical (1950-2100) and future climate scenarios (SSP1.2-6, SSP2.4-5, SSP3.7-0, SSP5.8-5).
Main Results:
- The NEX-DCP30-CMIP6 archive contains downscaled projections for maximum temperature, minimum temperature, precipitation, and vapor pressure.
- Data is available at a 30-arcsecond horizontal resolution, covering the coterminous United States.
- Projections span from 1950 to 2100, encompassing multiple Shared Socioeconomic Pathways (SSPs).
Conclusions:
- The NEX-DCP30-CMIP6 dataset offers a valuable resource for studying climate change impacts at a fine spatial scale.
- The availability of multiple climate models and scenarios enhances the robustness of climate change impact assessments.
- This high-resolution data supports informed decision-making for climate adaptation and mitigation strategies.
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