CRU scPDSI Drought Indices
Self-calibrating Palmer Drought Severity Index (scPDSI) datasets from the Climatic Research Unit, University of East Anglia. Global land 0.5-degree grid 1901-2024 (NetCDF), plus historic Europe (1750-2003) and European Alps (1800-2003) datasets. Released under Open Database License.
crudata.uea.ac.uk
At a glance
- Region
- United Kingdom (Global)
- Coverage
- Global
- Access
- Free
- Category
- Academic
- Last updated
- 2025
What's inside
- Drought index
- scPDSI
- Gridded climate
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Drought indices
Track SPI and SPEI style indices for declarations and relief.
Because it has: Drought index
- 02
Planning
Plan reservoir releases and cropping for a dry year.
- 03
Risk screening
Screen projects and assets for climate risk.
Because it has: Gridded climate
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Onset forecasts
Predict drought onset months ahead from climate signals.
- 02
One risk score
Combine many indices into a single, explainable risk score.
- 03
Bias correction
Correct and downscale climate model output for a site.
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