Water footprints and crop water use of 175 individual crops for 1990-2019
Global crop model (AquaCrop) quantifying consumptive water footprints of 175 crops at 5 arcminute resolution over 1990-2019, partitioned into green and blue water for rainfed and irrigated systems.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Water Use
What you can do with it
Typical work that data of this type supports.
- 01
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
- 02
Model input
Drive hydrological, crop and urban drainage models.
- 03
Irrigation scheduling
Decide when and how much to irrigate.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
- 02
Gauge + satellite fusion
Correct satellite rainfall with gauges using machine learning.
- 03
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
Machine access and documentation
Data paper
Water footprints and crop water use of 175 individual crops for 1990-2019
Scientific Data 2024
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