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Published March 30, 2023 | Version 0.1
Dataset Open

Catchment attributes and hydro-meteorological time series for large-sample studies across hydrologic Switzerland (CAMELS-CH)

  • 1. Eawag, Switzerland
  • 2. University of Bern, Switzerland
  • 3. ETH Zürich, Switzerland
  • 4. University of Zurich, Switzerland
  • 5. Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland
  • 6. University of Exeter, United Kingdom
  • 7. WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland
  • 8. University of Melbourne, Australia
  • 9. WSL, Switzerland

Description

This is a pre-release, while the dataset and corresponding publication is under revision.

CAMELS-CH (Catchment Attributes and MEteorology for large-sample Studies - Switzerland) is a large-sample hydro-meteorological data set for hydrological Switzerland in Central Europe that covers 331 basins within Switzerland and neighboring countries (Austria, France, Germany and Italy).  CAMELS-CH comprises dynamic hydro-meteorological variables and static catchment attributes.

The data set covers 40 years of data between 1st January 1981 and 31st December 2020 for each catchment: daily time series of stream flow and water levels, of meteorological data such as precipitation and air temperature and of daily snow water equivalent data. Additionally, CAMELS-CH encompasses annual time series of land cover change and glacier evolution per catchment. The static catchment attributes comprise the following categories: location and topography, climate, hydrology, soil, hydrogeology, geology, land use, human impact and glaciers.

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