The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
Camila Alvarez-Garreton et al.
The CAMELS-CL datasetC. 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
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.
CAMELS-CL provides a catchment dataset in Chile, including 516 catchment boundaries,...