CHELSA-BIOCLIM+ High-Resolution Climate Predictors (EnviDat)
Global 30-arcsec climate-related predictors including potential evapotranspiration, climate moisture index, site water balance, vapour pressure deficit and shortwave radiation; monthly 1980-2018 plus future scenarios. GeoTIFF, CC0, hosted on Swiss EnviDat / envicloud.
envidat.ch
At a glance
- Region
- Switzerland (Global)
- Coverage
- Global land
- Access
- Free
- Category
- Research Institute
- Last updated
- 2022
What's inside
- potential evapotranspiration
- climate moisture index
- water balance
- humidity
- radiation
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: potential 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 moisture index
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.
Related water data
- Caravan Large-Sample Hydrology Dataset (4TU.ResearchData)Global | Free
- CRU TS4.08 Gridded Climate Time Series (CEDA)Global | Free
- DesInventar Sendai - Disaster Loss Database (UNDRR)Global | Free
- GIRI Global Infrastructure Risk Model (UNEP/GRID-Geneva)Global | Free
- hPET Hourly Potential Evapotranspiration (University of Bristol)Global | Free
- NASA POWER (Prediction of Worldwide Energy Resources)Global | Free
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