Climate data for adaptation and vulnerability assessments (SWE) – west

The ClimAVA_SWE data set — where ClimAVA stands for Climate Data for Adaptation and Vulnerability Assessments — provides high-resolution (4 km) future climate projections derived from 13 CMIP6 General Circulation Models (GCMs). It focuses on Snow Water Equivalent (SWE), a crucial indicator of water availability, hydrologic extremes, and climate-related vulnerability, and includes projections for three Shared Socioeconomic Pathways (SSP245, SSP370, and SSP585) at a daily temporal scale. The initial release of ClimAVA_SWE covers the entire western United States. ClimAVA_SWE is produced using the newly developed Spatial Interactions Downscaling (SPID) method, which ensures high-quality downscaling through advanced machine learning techniques. SPID captures the relationship between large-scale spatial patterns at GCM resolution and fine-scale pixel values. For each pixel, two Random Forest models (one for the accumulation period and one for the ablation period) were trained using fine-resolution reference data as the predictand, and nine neighboring pixels from a spatially resampled (coarser) version of the reference data as predictors. These trained models are then applied to bias-corrected GCM data to generate the downscaled projections. The resulting dataset maintains strong climate realism and effectively represents extreme events.
 
Citation proposal
(2025) . Climate data for adaptation and vulnerability assessments (SWE) – west. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5332410
 

Simple

Date ( Publication )
2025-11-27
Edition
1
Identifier
ClimAVA-SWE
Identifier
doi:10.26050/WDCC/ClimAVA-SWE

  Principal investigator

Contact instructions
Email: sajad.khoshnoodmotlagh@usu.edu
Website
https://www.usu.edu/  

  Author

Contact instructions
Email: sajad.khoshnoodmotlagh@usu.edu
Website
https://www.usu.edu/  

  Author

Contact instructions
Email: andre.moraes@usu.edu
Website
https://www.usu.edu/  

  Author

Contact instructions
Email: a02203781@usu.edu
Website
https://www.usu.edu/  

  Publisher

  Point of contact

Website
https://www.usu.edu/  
Name
NetCDF
Keywords
  • CMIP6
Keywords
  • Western United States
Keywords
  • downscale
Keywords
  • machine learning
Keywords
  • snow water equivalent
Use limitation
CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
Metadata language
eng; USA
N
S
E
W


Supplemental Information
info:eu-repo/grantAgreement/UAES, USU//Grant%2FAward No: UTA01726/US//UAES grants
Distribution format
  • NetCDF ()

Transfer size
114078
OnLine resource
https://www.wdc-climate.de/ui/entry?acronym=ClimAVA-SWE  
Hierarchy level
collection collection

gmd:MD_Metadata

File identifier
wdc-climate.de:5332410   XML
Metadata language
eng; USA
Hierarchy level
collection collection
Hierarchy level name
ClimAVA-SWE
Date stamp
2025-11-09T09:42:28
Metadata standard name
ISO 19115
Metadata standard version
ISO 19115-2:2009

  Point of contact

Website
https://www.usu.edu/  
 
 

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  Associated resources

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