There is a newer version of the record available.

Published May 12, 2023 | Version 0.3

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.

# Updates:

- Update version 0.3: renaming single files/entries in "Caravan_extension_CH" to start with "camelsch" as unique Caravan extension identifier

- Update version 0.2: CH extension to Caravan (https://zenodo.org/record/7540792#.ZFtShM5By70) added

Files

camels_ch.zip

Files (792.5 MB)

Name Size
md5:7ec9b0e826769b0db5945eaedf5ee846
247.2 MB Preview Download
md5:4efbbd71210c3d196ee44ac89c1be8d5
545.4 MB Preview Download