CAMELS-DE Processing Pipeline and Data (camels-de.org)
Open processing-pipeline documentation for CAMELS-DE describing how the 1582-catchment German streamflow and water-level dataset is assembled from DWD meteorology and federal hydrological services, with benchmark LSTM and HBV model outputs.
camels-de.org
At a glance
- Region
- Germany (Europe)
- Coverage
- 1582 German catchments, 1951-2020
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- streamflow
- river discharge
- water level
- simulated discharge
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
Storage tracking
Follow storage and releases through the season.
Because it has: water level
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
Storage from space
Estimate volume from satellite water area and altimetry.
Related water data
- CAMELS-CH Reproducibility Guide and Dataset (Switzerland)Europe | Free
- CAMELS-DK: Hydrometeorological Time Series for 3330 Danish Catchments (GEUS)Europe | Free
- DGJ: Deutsches Gewässerkundliches Jahrbuch PortalEurope | Free
- Gewässerkundlicher Dienst Bayern (GKD): Bavarian Hydrological ServiceEurope | Free
- GKD Bayern - Bavarian Hydrological Service (Gewässerkundlicher Dienst)Europe | Free
- Hochwassernachrichtendienst Bayern (HND) - Bavarian Flood Information ServiceEurope | Free
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