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Catchment Attributes and Meteorology for Large-sample Studies

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camels

This repo contains the code used to produce most of the attributes of the Catchment Attributes and MEteorology for Large-sample Studies or CAMELS data set. These attributes were computed for 671 catchments in the United States and were introduced in the following paper:

Addor, N., Newman, A. J., Mizukami, N. and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21(10), 5293–5313, doi:10.5194/hess-21-5293-2017 , 2017.

This code was subsequently used to produce a similar data set for Chile including 516 catchments, CAMELS-CL:

Alvarez-Garreton, C., Mendoza, P. A., Boisier, J. P., Addor, N., Galleguillos, M., Zambrano-Bigiarini, M., Lara, A., Puelma, C., Cortes, G., Garreaud, R., McPhee, J. and Ayala, A.: The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset, Hydrol. Earth Syst. Sci., 22, 5817–5846, doi:10.5194/hess-22-5817-2018, 2018.

By using the same code for several data sets, we aim to improve results comparability across countries. This code is open source to improve the transparency and reproducibility of hydrological experiments.

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