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
 

INSPIRE

Identification

File identifier
wdc-climate.de:5332410   XML
Hierarchy level
collection collection
Online resource
Resource identifier
code
ClimAVA-SWE
code
doi:10.26050/WDCC/ClimAVA-SWE
Metadata language
eng; USA
Encoding
Format
NetCDF
Projection
 

Classification of data and services

 

Classification of data and services

Coupled resource
Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

Other keywords
Keywords
  • CMIP6
Keywords
  • Western United States
Keywords
  • downscale
Keywords
  • machine learning
Keywords
  • snow water equivalent
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

Temporal extent
Temporal extent
Date ( Publication )
2025-11-27
 

Quality and validity

 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
 

Restrictions on access and use

 

Restrictions on access and use

 

Responsible organization (s)

Contact for the resource
Organisation name
Utah State University
 

Responsible organization (s)

Contact for the resource
Organisation name
Utah State University
 

Metadata information

Contact for the metadata
Organisation name
Utah State University
Date stamp
2025-11-09T09:42:28
Metadata language
eng; USA
 
 

SDS

Conformance class 1: invocable

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Coordinate reference system
 
Quality of Service
 
Access constraints
Limitation
 
Use constraints
Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

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