Reconstructed Global Gridded Monthly Sectoral Water Withdrawals (incl. irrigation)
Open global 0.5-degree monthly gridded dataset of sectoral water withdrawals for 1971-2010 distinguishing irrigation, domestic, livestock, manufacturing, mining and electricity, supporting fine-scale agricultural water-use analysis.
osti.gov
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- irrigation water withdrawal
- water use
- gridded data
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: irrigation water withdrawal
- 02
Water accounting
Track how much water crops actually consume across a command area.
- 03
Crop stress
Spot water stress early in the season.
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
Irrigated area maps
Classify irrigated and rainfed fields from imagery.
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- Gridded global dataset of industrial water use predicted using Random ForestGlobal | Free
- OECD Water DatabaseGlobal | Free
- Quantitative datasets of societal value, technology and policy for human-water system modellingGlobal | Free
- Total irrigation by crop in the Continental United States from 2008 to 2020Global | Free
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