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FreeAcademicGermany, Europe

CAMELS-DE on RADAR4KIT (KIT Research Data Repository)

DOI-referenced deposit of the CAMELS-DE large-sample hydrology dataset (1582 German catchments, daily hydro-meteorological time series and catchment attributes) in RADAR4KIT, the interdisciplinary research data repository of Karlsruhe Institute of Technology. Search 'CAMELS-DE' for the data package.

radar.kit.edu

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.

  1. 01

    Design flows

    Estimate 1-in-50 and 1-in-100 year floods for bridges, culverts and spillways.

    Because it has: streamflow

  2. 02

    Low flows

    Set environmental flows and check what is left in the river in a dry year.

  3. 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.

  1. 01

    Flow forecasting

    Train LSTM-style models on past records to forecast river levels and flow days ahead.

  2. 02

    Ungauged basins

    Combine with catchment data to estimate flow where there is no gauge.

  3. 03

    Bias correction

    Correct and downscale climate model output for a site.

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