Caravan: A global community dataset for large-sample hydrology
An open community dataset providing meteorological forcing, streamflow, and catchment attributes for thousands of catchments worldwide, designed for large-sample hydrological modeling.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2023
What's inside
- Streamflow
- Catchment Data
Terms explained
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: Streamflow
- 02
Low flows
Set environmental flows and check what is left in the river in a dry year.
- 03
Model calibration
Calibrate and test catchment models against observed flow.
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
Automatic QC
Flag gauge errors, shifts and gaps before they reach a report.
Machine access and documentation
Data paper
Caravan: A global community dataset for large-sample hydrology
Scientific Data 2023
Read the paperRelated water data
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- BfG GRDC (Global Runoff Data Centre)Global | Registration Required
- Caravan: Global community large-sample hydrology dataset (LEAP/Pangeo zarr)Global | Free
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