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FreeAcademicSwitzerland, Europe

CAMELS-CH Reproducibility Guide and Dataset (Switzerland)

Large-sample hydro-meteorological dataset for hydrologic Switzerland covering 331 basins (1981-2020), with daily streamflow, water levels, precipitation, temperature, snow water equivalent and static catchment attributes. About one-third of catchments extend into Austria, France, Germany and Italy. This project site documents the dataset and full reproducibility pipeline.

camels-ch.github.io

At a glance

Region
Switzerland (Europe)
Coverage
331 catchments, 1981-2020
Access
Free
Category
Academic
Last updated
2025

What's inside

  • streamflow
  • river discharge
  • water level
  • snow water equivalent
  • catchment attributes

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

    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.

  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

    Storage from space

    Estimate volume from satellite water area and altimetry.

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