Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5817-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5817-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 Nov 2018
Research article |
| 13 Nov 2018
| 13 Nov 2018
The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset
Camila Alvarez-Garreton
CORRESPONDING AUTHOR
Center for Climate and Resilience Research (CR2), Santiago, Chile
Instituto de Conservación, Biodiversidad y Territorio, Universidad Austral de Chile, Valdivia, Chile
Pablo A. Mendoza
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Juan Pablo Boisier
Center for Climate and Resilience Research (CR2), Santiago, Chile
Department of Geophysics, Universidad de Chile, Santiago, Chile
Nans Addor
Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
Mauricio Galleguillos
Center for Climate and Resilience Research (CR2), Santiago, Chile
Faculty of Agronomic Sciences, Universidad de Chile, Santiago, Chile
Mauricio Zambrano-Bigiarini
Center for Climate and Resilience Research (CR2), Santiago, Chile
Department of Civil Engineering, Faculty of Engineering and Sciences, Universidad de La Frontera, Temuco, Chile
Antonio Lara
Center for Climate and Resilience Research (CR2), Santiago, Chile
Instituto de Conservación, Biodiversidad y Territorio, Universidad Austral de Chile, Valdivia, Chile
Cristóbal Puelma
Center for Climate and Resilience Research (CR2), Santiago, Chile
Faculty of Agronomic Sciences, Universidad de Chile, Santiago, Chile
Gonzalo Cortes
Department of Civil and Environmental Engineering, University of California, Los Angeles, California, USA
Rene Garreaud
Center for Climate and Resilience Research (CR2), Santiago, Chile
Department of Geophysics, Universidad de Chile, Santiago, Chile
James McPhee
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Alvaro Ayala
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, Switzerland
Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland
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.
CAMELS-CL provides a catchment dataset in Chile, including 516 catchment boundaries,...
