CAMELS-DE: 1582 catchments in Germany
CAMELS-DE: hydro-meteorological observations and catchment attributes for 1,582 German catchments (5-15,000 km²), up to 70 years of daily meteorological and discharge data, plus soil/vegetation/geology/human-impact attributes and LSTM and HBV model-simulated discharge benchmarks. Companion hourly variant CAMELS-DE-1h also available.
camels-de.org
At a glance
- Region
- Germany (Europe)
- Coverage
- 1,582 catchments (Germany)
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- streamflow
- meteorological forcing
- catchment attributes
- model output
- 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
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.
Related water data
- CAMELS-CH: 331 catchments in hydrologic Switzerland (DORA record)Europe | Free
- CAMELS-DK: 3330 Danish catchments (incl. groundwater)Europe | Free
- CAMELS-FR: Large-sample hydroclimatic dataset for FranceEurope | Free
- CAMELS-GB: 671 catchments in Great BritainEurope | Free
- CAMELS-GB v2: sub-daily and groundwater extension (671 catchments)Europe | Free
- CAMELS-SE: 50 catchments in Sweden (1961-2020)Europe | Free
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