Wir präsentieren CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies - Switzerland), einen groß angelegten hydro-meteorologischen Datensatz für die Schweiz und ihre Nachbarländer. Der Datensatz deckt 331 Einzugsgebiete ab, von denen sich etwa ein Drittel auf Österreich, Frankreich, Deutschland und Italien erstreckt. Er erfasst die vielfältigen Landschaften der Schweiz, darunter Gebirge, Karstregionen und Kulturlandschaften. Die Einzugsgebiete werden von verschiedenen hydrologischen Systemen beeinflusst, wie z.B. Gletscher-, Schnee- oder Regensystemen.
CAMELS-CH (Höge et al., 2023; verfügbar unter doi.org/10.5281/zenodo.7784632) enthält Daten aus 40 Jahren (1981-2020) mit täglichen Aufzeichnungen von Abfluss, Wasserstand, Niederschlag, Lufttemperatur und Schneewasseräquivalentdaten ab 1998. Darüber hinaus werden für jedes Einzugsgebiet jährliche Daten zur Landbedeckung und zur Gletscherveränderung bereitgestellt. Die statischen Attribute umfassen Topografie, Klima, Hydrologie, Böden, Geologie, Bodennutzung und menschliche Einflüsse. Dieser Datensatz ergänzt ähnliche öffentlich verfügbare Datensätze und bietet umfassende Daten aus der Schweiz, die oft als „Wasserturm Europas“ bezeichnet wird.
Kürzlich wurde CAMELS-CH um CAMELS-CH-Chem erweitert, einen Begleitdatensatz, der Wasserqualitätsbeobachtungen für einen Teil der Einzugsgebiete hinzufügt. CAMELS-CH-Chem (do Nascimento et al., 2025; verfügbar unter doi.org/10.1038/s41597-025-05625-1) umfasst bis zu 40 Wasserqualitätsparameter, die in drei Kategorien unterteilt sind: Wasserchemie von Fließgewässern, Isotope von Fließgewässern und aggregierte Daten von Einzugsgebieten. Dieser umfassende Datensatz erweitert die Integration der Wasserqualität in die hydrologische Forschung mit großen Stichproben und unterstützt neue Erkenntnisse in der hydrologischen und biogeochemischen Modellierung.
Erweiterungen um stündliche Daten sind derzeit in Arbeit.
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title => protected'CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland' (113 chars)
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description => protected'We present CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies – Switzerland), a large-sample hydro-meteorological data set for h ydrologic Switzerland in central Europe. This domain covers 331 basins with in Switzerland and neighboring countries. About one-third of the catchments are located in Austria, France, Germany and Italy. As an Alpine country, Swi tzerland covers a vast diversity of landscapes, including mountainous enviro nments, karstic regions, and several strongly cultivated regions, along with a wide range of hydrological regimes, i.e., catchments that are glacier-, s now- or rain dominated. Similar to existing data sets, CAMELS-CH comprises d ynamic hydro-meteorological variables and static catchment attributes.<br /> CAMELS-CH (Höge et al., 2023; available at https://doi.org/10.5281/zenodo .7784632) encompasses 40 years of data between 1 January 1981 and 31 Dec ember 2020, including daily time series of stream flow and water levels, an d of meteorological data such as precipitation and air temperature. It also includes daily snow water equivalent data for each catchment starting from 2 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, geol ogy, land use, human impact and glaciers. This Swiss data set complements co mparable publicly accessible data sets, providing data from the “water tow er of Europe”.' (1536 chars)
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title => protected'Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agric ultural and atmospheric data' (104 chars)
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description => protected'Despite the growth of large-sample hydrology (LSH) datasets, water quality d ata remain scarce. Here, we introduce CAMELS-CH-Chem, an extension of CAMELS -CH (Catchment Attributes and Meteorology for Large-sample Studies in Switze rland), incorporating up to 40 water quality parameters for 115 Swiss catchm ents from 1981 to 2020. The dataset includes hourly and daily time series of measurements of water temperature, dissolved oxygen, pH, and electrical con ductivity; as well as (bi)monthly measurements of dissolved organic carbon ( DOC), total organic carbon (TOC), alkalinity (HCO<sub>4</sub><sup>−</sup>) , ammonium (NH<sub>4</sub><sup>+</sup>), NO<sub>3</sub><sup>−</sup>, NO<su b>2</sub><sup>−</sup>, total nitrogen, dissolved reactive phosphorus, tota
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CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
We present CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies – Switzerland), a large-sample hydro-meteorological data set for hydrologic 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 doi.org/10.5281/zenodo.7784632) encompasses 40 years of data between 1 January 1981 and 31 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 2 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”.
Höge, M.; Kauzlaric, M.; Siber, R.; Schönenberger, U.; Horton, P.; Schwanbeck, J.; Floriancic, M. G.; Viviroli, D.; Wilhelm, S.; Sikorska-Senoner, A. E.; Addor, N.; Brunner, M.; Pool, S.; Zappa, M.; Fenicia, F. (2023) CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland, Earth System Science Data, 15(12), 5755-5784, doi:10.5194/essd-15-5755-2023, Institutional Repository
Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data
Despite the growth of large-sample hydrology (LSH) datasets, water quality data remain scarce. Here, we introduce CAMELS-CH-Chem, an extension of CAMELS-CH (Catchment Attributes and Meteorology for Large-sample Studies in Switzerland), incorporating up to 40 water quality parameters for 115 Swiss catchments from 1981 to 2020. The dataset includes hourly and daily time series of measurements of water temperature, dissolved oxygen, pH, and electrical conductivity; as well as (bi)monthly measurements of dissolved organic carbon (DOC), total organic carbon (TOC), alkalinity (HCO4−), ammonium (NH4+), NO3−, NO2−, total nitrogen, dissolved reactive phosphorus, total filtered phosphorus, total phosphorus, Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl⁻, SO42−, H4SiO4, SO42−, total hardness, and stream water isotopes. In addition, we provide catchment aggregated (bi)monthly time series of precipitation water isotopes, along with annual resolution data on land cover including specific agricultural information (crop types and livestock density), and atmospheric nitrogen deposition. This comprehensive dataset enables broader integration of water quality into LSH research and will support new insights specifically in the field of hydrological and biogeochemical modelling.
do Nascimento, T. V. M.; Höge, M.; Schönenberger, U.; Pool, S.; Siber, R.; Kauzlaric, M.; Staudinger, M.; Horton, P.; Floriancic, M. G.; Storck, F. R.; Rinta, P.; Seibert, J.; Fenicia, F. (2025) Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data, Scientific Data, 12(1), 1283 (17 pp.), doi:10.1038/s41597-025-05625-1, Institutional Repository
