Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data

Swiss data quality: augmenting CAMELS-CH with isotopes, water quality, agricultural and atmospheric data

Abstract 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...

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Main Authors: Thiago V. M. do Nascimento, Marvin Höge, Ursula Schönenberger, Sandra Pool, Rosi Siber, Martina Kauzlaric, Maria Staudinger, Pascal Horton, Marius G. Floriancic, Florian R. Storck, Päivi Rinta, Jan Seibert, Fabrizio Fenicia
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-025-05625-1
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https://doi.org/10.1038/s41597-025-05625-1

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