Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
Hydrol. Earth Syst. Sci., 22, 5817–5846, 2018
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.

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Cited articles

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, 5293–5313,, 2017. 
Addor, N., Nearing, G., Prieto, C., Newman, A. J., Le Vine, N., and Clark, M. P.: A ranking of hydrological signatures based on their predictability in space, Water Resour. Res., 54,, 2018. 
Adler, R. F., Huffman, G. J., Chang, A., Ferraro, R., Xie, P.-P., Janowiak, J., Rudolf, B., Schneider, U., Curtis, S., Bolvin, D., Gruber, A., Susskind, J., Arkin, P., and Nelkin, E.: The Version-2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979–Present), J. Hydrometeorol., 4, 1147–1167,<1147:TVGPCP>2.0.CO;2, 2003. 
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: FAO Penman–Monteith Equation, in: Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements, FAO – Food and Agriculture Organization of the United Nations, Rome, 17–28, 1998. 
Allmendinger, R. W., Jordan, T. E., Kay, S. M., and Isacks, B. L.: The evolution of the Altiplano-Puna Plateau of the Central Andes, Annu. Rev. Earth Planet. Sci., 25, 139–174,, 1997. 
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.