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 (<InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq1.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="56" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{HCO}}}_{{\bf{4}}}^{{{-}}}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">HCO</mi> </mrow> <mrow> <mn mathvariant="bold">4</mn> </mrow> <mrow> <mi mathvariant="bold">−</mi> </mrow> </msubsup> </math></EquationSource> </InlineEquation>), ammonium (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq2.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="41" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{NH}}}_{{\bf{4}}}^{+}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">NH</mi> </mrow> <mrow> <mn mathvariant="bold">4</mn> </mrow> <mrow> <mo>+</mo> </mrow> </msubsup> </math></EquationSource> </InlineEquation>), <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq3.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="42" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{NO}}}_{{\bf{3}}}^{{{-}}}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">NO</mi> </mrow> <mrow> <mn mathvariant="bold">3</mn> </mrow> <mrow> <mi mathvariant="bold">−</mi> </mrow> </msubsup> </math></EquationSource> </InlineEquation>, <InlineEquation ID="IEq4"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq4.gif" Format="GIF" Height="20" Rendition="HTML" Resolution="72" Type="Linedraw" Width="42" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{NO}}}_{{\bf{2}}}^{{{-}}}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">NO</mi> </mrow> <mrow> <mn mathvariant="bold">2</mn> </mrow> <mrow> <mi mathvariant="bold">−</mi> </mrow> </msubsup> </math></EquationSource> </InlineEquation>, total nitrogen, dissolved reactive phosphorus, total filtered phosphorus, total phosphorus, Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl⁻, <InlineEquation ID="IEq5"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq5.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="45" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{SO}}}_{{\bf{4}}}^{{\bf{2}}{{-}}}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">SO</mi> </mrow> <mrow> <mn mathvariant="bold">4</mn> </mrow> <mrow> <mn mathvariant="bold">2</mn> <mi mathvariant="bold">−</mi> </mrow> </msubsup> </math></EquationSource> </InlineEquation>, H4SiO4, <InlineEquation ID="IEq6"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="41597_2025_5625_Article_IEq5.gif" Format="GIF" Height="21" Rendition="HTML" Resolution="72" Type="Linedraw" Width="45" /> </InlineMediaObject> <EquationSource Format="TEX">${{\bf{SO}}}_{{\bf{4}}}^{{\bf{2}}{{-}}}$</EquationSource> <EquationSource Format="MATHML"><math> <msubsup> <mrow> <mi mathvariant="bold">SO</mi> </mrow> <mrow> <mn mathvariant="bold">4</mn> </mrow> <mrow> <mn mathvariant="bold">2</mn> <mi mathvariant="bold">−</mi> </mrow> </msubsup> </math></EquationSource> </InlineEquation>, 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.

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

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2025年7月23日

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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

摘要

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 ( ${{\bf{HCO}}}_{{\bf{4}}}^{{{-}}}$ ${HCO}_{4}^{-}$ ), ammonium ( ${{\bf{NH}}}_{{\bf{4}}}^{+}$ ${NH}_{4}^{+}$ ), ${{\bf{NO}}}_{{\bf{3}}}^{{{-}}}$ ${NO}_{3}^{-}$ , ${{\bf{NO}}}_{{\bf{2}}}^{{{-}}}$ ${NO}_{2}^{-}$ , total nitrogen, dissolved reactive phosphorus, total filtered phosphorus, total phosphorus, Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl⁻, ${{\bf{SO}}}_{{\bf{4}}}^{{\bf{2}}{{-}}}$ ${SO}_{4}^{2 -}$ , H₄SiO₄, ${{\bf{SO}}}_{{\bf{4}}}^{{\bf{2}}{{-}}}$ ${SO}_{4}^{2 -}$ , 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.