Catchment Attributes and Meteorology for Large-sample Studies – CAMELS datasets
Catchment Attributes and Meteorology for Large-sample Studies – CAMELS datasets
This collection is dedicated to articles presenting so called CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) data. CAMELS hydro-meteorological datasets are nationwide compilations of hundreds of identified catchments, their physical attributes, records of their drainage dynamics and corresponding meteorological time series. CAMELS data have revolutionised the way hydrological predictions, catchment classifications, and analyses of characteristics and change are carried out. They have unified approaches to the identification of hydrological signatures, serve as benchmarks for model development in a variety of settings, and give rise to a new branch of machine learning in water management. CAMELS data are a testimony to international open data initiatives and demonstrate how regional to global science, education and management practice benefit from open data.

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30 Jul 2024
CAMELS-DE: hydro-meteorological time series and attributes for 1555 catchments in Germany
Ralf Loritz, Alexander Dolich, Eduardo Acuña Espinoza, Pia Ebeling, Björn Guse, Jonas Götte, Sibylle K. Hassler, Corina Hauffe, Ingo Heidbüchel, Jens Kiesel, Mirko Mälicke, Hannes Müller-Thomy, Michael Stölzle, and Larisa Tarasova
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-318,https://doi.org/10.5194/essd-2024-318, 2024
Preprint under review for ESSD (discussion: final response, 4 comments)
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19 Dec 2023
CAMELS-CH: hydro-meteorological time series and landscape attributes for 331 catchments in hydrologic Switzerland
Marvin Höge, Martina Kauzlaric, Rosi Siber, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Marius Günter Floriancic, Daniel Viviroli, Sibylle Wilhelm, Anna E. Sikorska-Senoner, Nans Addor, Manuela Brunner, Sandra Pool, Massimiliano Zappa, and Fabrizio Fenicia
Earth Syst. Sci. Data, 15, 5755–5784, https://doi.org/10.5194/essd-15-5755-2023,https://doi.org/10.5194/essd-15-5755-2023, 2023
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06 Aug 2021
CAMELS-AUS: hydrometeorological time series and landscape attributes for 222 catchments in Australia
Keirnan J. A. Fowler, Suwash Chandra Acharya, Nans Addor, Chihchung Chou, and Murray C. Peel
Earth Syst. Sci. Data, 13, 3847–3867, https://doi.org/10.5194/essd-13-3847-2021,https://doi.org/10.5194/essd-13-3847-2021, 2021
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12 Oct 2020
CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain
Gemma Coxon, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden, Rosanna Lane, Melinda Lewis, Emma L. Robinson, Thorsten Wagener, and Ross Woods
Earth Syst. Sci. Data, 12, 2459–2483, https://doi.org/10.5194/essd-12-2459-2020,https://doi.org/10.5194/essd-12-2459-2020, 2020
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08 Sep 2020
CAMELS-BR: hydrometeorological time series and landscape attributes for 897 catchments in Brazil
Vinícius B. P. Chagas, Pedro L. B. Chaffe, Nans Addor, Fernando M. Fan, Ayan S. Fleischmann, Rodrigo C. D. Paiva, and Vinícius A. Siqueira
Earth Syst. Sci. Data, 12, 2075–2096, https://doi.org/10.5194/essd-12-2075-2020,https://doi.org/10.5194/essd-12-2075-2020, 2020
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