Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
https://doi.org/10.5194/hess-22-5817-2018
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
https://doi.org/10.5194/hess-22-5817-2018

Research article 13 Nov 2018

Research article | 13 Nov 2018

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

Camila Alvarez-Garreton et al.

Data sets

The CAMELS-CL dataset C. Alvarez-Garreton, P. A. Mendoza, J. P. Boisier, N. Addor, Nans, M. Galleguillos, M. Zambrano-Bigiarini, A. Lara, C. Puelma, G. Cortes, R. Garreaud, J. McPhee, and A. Ayala https://doi.pangaea.de/10.1594/PANGAEA.894885

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Short summary
CAMELS-CL provides a catchment dataset in Chile, including 516 catchment boundaries, hydro-meteorological time series, and 70 catchment attributes quantifying catchments' climatic, hydrological, topographic, geological, land cover and anthropic intervention features. By using CAMELS-CL, we characterise hydro-climatic regional variations, assess precipitation and potential evapotranspiration uncertainties, and analyse human intervention impacts on catchment response.