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CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland

Authors :
Höge, Marvin
Kauzlaric, Martina
Siber, Rosi
Schönenberger, Ursula
Horton, Pascal
Schwanbeck, Jan
Floriancic, Marius Günter
Viviroli, Daniel
Wilhelm, Sibylle
Sikorska-Senoner, Anna E.
Addor, Nans
Brunner, Manuela
Pool, Sandra
Zappa, Massimiliano
Fenicia, Fabrizio
Publication Year :
2023

Abstract

We present CAMELS-CH (Catchment Attributes and MEteorology for large-sample Studies - Switzerland), a large-sample hydro-meteorological data set for hydrological Switzerland in Central Europe. This domain covers 331 basins within Switzerland and neighboring countries. About one third of the catchments are located in Austria, France, Germany and Italy. As an Alpine country, Switzerland covers a vast diversity of landscapes, including mountainous environments, karstic regions, and several strongly cultivated regions, along with a wide range of hydrological regimes, i.e. catchments that are glacier-, snow- or rain-dominated. Similar to existing data sets, CAMELS-CH comprises dynamic hydro-meteorological variables and static catchment attributes. CAMELS-CH (Höge et al., 2023, available at: https://doi.org/10.5281/zenodo.7957061) encompasses 40 years of data between 1st January 1981 and 31st December 2020, including daily time series of stream flow and water levels, and of meteorological data such as precipitation and air temperature. It also includes daily snow water equivalent data for each catchment starting from 2nd September 1998. Additionally, we provide annual time series of land cover change and glacier evolution per catchment. The static catchment attributes cover location and topography, climate, hydrology, soil, hydrogeology, geology, land use, human impact and glaciers. This Swiss data set complements comparable publicly accessible data sets, providing data from the "water tower of Europe".

Details

Language :
English
ISSN :
18663516
Database :
OpenAIRE
Accession number :
edsair.copernicuspu..7abf50e34b1e8a3c1010ca9dabdddec2