Virtual water trade and water footprint of agricultural goods: the 1961-2016 CWASI database
Country-specific water footprint and virtual water trade data for 370 agricultural goods across all countries (1961-2016), tracing goods to production origin.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2021
What's inside
- Hydrological Data
What you can do with it
Typical work that data of this type supports.
- 01
Design flows
Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.
Because it has: Hydrological Data
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 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
Flow forecasting
Train LSTM-style models on past records to forecast river levels and flow days ahead.
- 02
Ungauged basins
Combine with catchment data to estimate flow where there is no gauge.
- 03
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
Machine access and documentation
Data paper
Virtual water trade and water footprint of agricultural goods: the 1961-2016 CWASI database
Earth System Science Data 2021
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