Caravan dataset collection: 4TU.ResearchData
4TU.ResearchData curated collection of the Caravan global large-sample hydrology dataset and its regional extensions: standardized meteorological forcing, observed discharge, and catchment attributes for 6,830+ basins (CAMELS US/AUS/BR/CL/GB, HYSETS, LamaH-CE) for hydrological model training and benchmarking.
data.4tu.nl
At a glance
- Region
- Global
- Coverage
- 6,830+ catchments globally
- Access
- Free
- Category
- Academic
- Last updated
- 2023
What's inside
- streamflow
- meteorological forcing
- catchment attributes
- time series
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
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
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
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
Related water data
- Caravan: Global community large-sample hydrology dataset (LEAP/Pangeo zarr)Global | Free
- Global streamflow indices time series dataset for large-sample hydrologyGlobal | Free
- BfG GRDC (Global Runoff Data Centre)Global | Registration Required
- CAMELS (US): Catchment Attributes and Meteorology for Large-sample StudiesNorth America | Free
- CAMELS-BR: 897 catchments in Brazil (Sextant/Ifremer record)South America | Free
- CAMELS-CH: 331 catchments in hydrologic Switzerland (DORA record)Europe | Free
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