CAMELS-DE: Hydro-meteorological Time Series and Attributes for 1582 German Catchments (FreiDok)
National large-sample dataset for Germany: daily hydro-meteorological time series (up to 70 years, 1951-2020) and harmonised static catchment attributes (topography, soils, land cover, hydrogeology, human influences) for 1582 streamflow gauges. Hosted in the University of Freiburg FreiDok plus institutional repository.
freidok.uni-freiburg.de
At a glance
- Region
- Germany (Europe)
- Coverage
- 1582 catchments, 1951-2020
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- streamflow
- climate forcing
- catchment attributes
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
Risk screening
Screen projects and assets for climate risk.
Because it has: climate forcing
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
Bias correction
Correct and downscale climate model output for a site.
Related water data
- CAMELS-DE on RADAR4KIT (KIT Research Data Repository)Europe | Free
- CAMELS-CH: Hydro-meteorological Time Series and Attributes for 331 Catchments (Eawag DORA)Europe | Free
- CAMELS-DE: 1582 catchments in GermanyEurope | Free
- CAMELS-DK: Danish Catchments with Groundwater Information (GEUS Dataverse)Europe | Free
- Living Handbook CAMELS-DE Showcase (NFDI4Earth, Germany)Europe | Free
- airGRdatasets: Hydro-Meteorological Catchments Datasets for airGR (French catchments)Europe | Free
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