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

Alvarez-Garreton, Camila; Mendoza, Pablo A.; Boisier, Juan Pablo; Addor, Nans; Galleguillos, Mauricio; Zambrano-Bigiarini, Mauricio; Lara, Antonio; Puelma, Cristóbal; Cortes, Gonzalo; Garreaud, Rene; McPhee, James; Ayala, Alvaro

doi:https://doi.org/10.5194/hess-22-5817-2018

Articles | Volume 22, issue 11

Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018

https://doi.org/10.5194/hess-22-5817-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018

https://doi.org/10.5194/hess-22-5817-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 11

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

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.