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

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

<p>We introduce the first catchment dataset for large sample studies in Chile. This dataset includes 516 catchments; it covers particularly wide latitude (17.8 to 55.0°&thinsp;S) and elevation (0 to 6993&thinsp;m&thinsp;a.s.l.) ranges, and it relies on multiple data sources (inc...

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Bibliographic Details
Main Authors: C. Alvarez-Garreton, P. A. Mendoza, J. P. Boisier, N. Addor, M. Galleguillos, M. Zambrano-Bigiarini, A. Lara, C. Puelma, G. Cortes, R. Garreaud, J. McPhee, A. Ayala
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/22/5817/2018/hess-22-5817-2018.pdf

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https://www.hydrol-earth-syst-sci.net/22/5817/2018/hess-22-5817-2018.pdf

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