dataset · Other
CLMS Snow Water Equivalent (SWE) Northern Hemisphere 5km daily V2 (COG)
Provides daily estimates of the snow water equivalent over the Northern Hemisphere in the spatial resolution of about 5 km.
Visit source ↗Source details
Licence: other
Evidence quality: 43.9
Listed in cdse-stac public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Data offered docs-verified
- Snow Water Equivalent (swe band) · Variance of Snow Water Equivalent (var band)
- Coverage docs-verified
- Northern Hemisphere · from 2024-07-01 onward (open-ended)
- Resolution docs-verified
- About 5 km spatial (EPSG:4326 grid, 1000x7200 shape); daily temporal
- Update frequency docs-verified
- Daily; near-real-time (NRT) product with 12-hour timeliness (PT12H)
- Formats docs-verified
- GeoTIFF (cloud-optimized, float32) · ZIP (zipped product archive) · STAC catalogue (JSON, GeoJSON items)
- Access docs-verified
- Licence 'other' (Copernicus Land Monitoring Service data policy). HTTPS assets require OIDC login via CDSE identity; S3 assets need S3 credentials; CREODIAS S3 is requester-pays. Cost not stated in DOCS.
Useful for
- Use cases llm-inferred
- Snowpack seasonality context for upland catchment hydrology in northern and high-latitude project areas · Snow store inputs or calibration checks for cold-climate rainfall-runoff models · Regional snowmelt contribution screening for reservoir or water-resource assessments outside the UK · Coarse-scale snow context for UK upland catchment flood risk reviews, with local data used for detail
- Audience llm-inferred
- hydrologists · flood risk consultants · water resources engineers · climate risk analysts · GIS analysts
Limitations
- Constraints llm-inferred
- About 5 km cells are too coarse for small UK catchments and local snow detail · Spatial extent is limited to Northern Hemisphere 35–85°N; not UK-specific · Series starts 2024-07-01, so no long historical record in this collection · Asset download needs CDSE OIDC or S3 credentials; CREODIAS S3 is requester-pays · Nodata value is -100000, so masking is needed before analysis · Licence is 'other'; terms need checking before client or commercial use · Sensor inputs are SSMIS and VIIRS; DOCS give no quality-flag or validation detail
Evidence
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.