Global monthly CMIP6 climate variables for estimating evapotranspiration
Monthly climate variables from 14 CMIP6 GCMs for four SSPs at 0.5° resolution (1950-2100), designed to estimate historical and future potential evapotranspiration.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Evapotranspiration
- Climate Projections
Terms explained
What you can do with it
Typical work that data of this type supports.
- 01
Irrigation scheduling
Decide when and how much to irrigate.
Because it has: Evapotranspiration
- 02
Water accounting
Track how much water crops actually consume across a command area.
- 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
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
- 02
Demand forecasts
Predict irrigation demand weeks ahead for canal and pump planning.
- 03
Bias correction
Correct and downscale climate model output for a site.
Machine access and documentation
Data paper
Global monthly CMIP6 climate variables for estimating evapotranspiration
Scientific Data 2023
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