CAMELS-CL: Catchment Attributes and Meteorology for Large Sample Studies, Chile Dataset
This dataset consists on catchment-scale hydrology, meteorology and attributes across Chile (17.8 S – 55.0 S). We delineate 516 catchments, collected public streamflow records for the catchment outlets, and generated the following hydro-meteorological time series at the catchment scale:
1) Three daily precipitation time series based on gridded products (CR2MET and three satellite products).
2) Daily time series of maximum, minimum and mean temperature, based on CR2MET.
3) 8-day accumulated potential evapotranspiration (PET) from MODIS imagery and daily PET computed using temperature and Hargreaves formulae.
4) Daily time series of snow water equivalent, processed based on the UCLA SWE Reanalysis product (Cortés and Margulis, 2016).
Additionally, we process catchment topography, land cover and geology. To quantify anthropic intervention, we process granted surface and ground water rights. The information is synthetized in in a series of catchment attributes describing the landscape and water use characteristics of each catchment.
The CAMELS-CL dataset can be used to address a myriad of applications, including catchment classification and regionalization studies, the modelling of water availability under different management 5 scenarios, the characterisation of drought history and projections, and the exploration of climate change impacts on hydrological processes. This effort is part of an international initiative to create a multi-national large sample data sets freely available for the community.
CAMELS-CL is presented as csv files with the hydro-meteorological time series and catchment attributes, where each catchment is identified by the code of the streamflow gauge used as outlet for catchment delineation. Additionally, there is a file with the catchment attributes.
Referencia: 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. Discuss., https://doi.org/10.5194/hess-2018-23, in review, 2018.