ClimAVA-SWE: High-Resolution Daily Snow Water Equivalent Projections for the Western U.S.

14 CMIP6 Global Climate Models provide daily snow water equivalent projections at 4 km resolution for the western United States from 1981 to 2100. The dataset, created by Khoshnood Sajad and hosted on Harvard Dataverse, is generated using the machine-learning-based Spatial Interactions Downscaling (SPID) framework. It includes three Shared Socioeconomic Pathways (SSP245, SSP370, SSP585) and is intended for climate impact and water resources studies.

Use Cases

• Modeling future water availability based on high-resolution, bias-corrected snow water equivalent projections.
• Assessing climate-related vulnerability and hydrologic extremes in snow-dominated watersheds.
• Supporting long-term water resources planning and adaptation strategies using multiple socioeconomic scenarios.
• Calibrating or validating hydrological models with physically consistent, spatially detailed climate data.

Strengths

• High spatial resolution of 4 km for detailed regional analysis.
• Covers a long time period from 1981 to 2100 with daily temporal resolution.
• Includes projections from 14 different CMIP6 Global Climate Models for ensemble analysis.
• Provides data for three distinct Shared Socioeconomic Pathways (SSP245, SSP370, SSP585).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total file size are unknown, which may limit suitability assessment.
• Geographic coverage is limited to the western United States.

Provenance

Source

Derived from 14 CMIP6 Global Climate Models.

Collection Method

Generated using the machine-learning-based Spatial Interactions Downscaling (SPID) framework.

Time Range

1981–2100

Freshness

Last updated 2026-05-06 17:50:19; freshness should be verified.

Geography

Western United States