Global Future Drought Layers based on downscaled CMIP6 models
Global gridded projections of future drought conditions derived from downscaled CMIP6 models under multiple SSP scenarios, enabling drought risk assessment under climate change.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2025
What's inside
- Drought Indices
- Climate Projections
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 Indices
- 02
Planning
Plan reservoir releases and cropping for a dry year.
- 03
Risk screening
Screen projects and assets for climate risk.
Because it has: Climate Projections
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.
Machine access and documentation
Data paper
Global Future Drought Layers based on downscaled CMIP6 models
Scientific Data 2025
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