2018
DOI: 10.5194/hess-2018-23
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The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies – Chile dataset

Abstract: Abstract.We introduce the first catchment data set for large sample studies in Chile (South America). The data set includes 516 catchments and provides catchment boundaries, daily streamflow records and basin-averaged time series of the following hydrometeorological variables: 1) daily precipitation retrieved from four gridded sources; 2) daily maximum, minimum and 20 mean temperature; 3) daily potential evapotranspiration (PET); 4) 8-day accumulated PET; and 5) daily snow water equivalent.In addition to the h… Show more

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Cited by 49 publications
(35 citation statements)
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“…The model requires as forcing, monthly data of air temperature and precipitation. These input data were taken from the CR2MET dataset (Alvarez-Garreton and others, 2018). The CR2MET is a new gridded climatology dataset available at daily and monthly time step with a grid size of 0.005° (~5 km).…”
Section: Methodsmentioning
confidence: 99%
“…The model requires as forcing, monthly data of air temperature and precipitation. These input data were taken from the CR2MET dataset (Alvarez-Garreton and others, 2018). The CR2MET is a new gridded climatology dataset available at daily and monthly time step with a grid size of 0.005° (~5 km).…”
Section: Methodsmentioning
confidence: 99%
“…to 545 mm at 2370 m a.s.l.) has been described (data from 1979 to 2016 CR2MET, Alvarez‐Garreton et al 2018). According to elevation decrease in air temperature (lapse rate) for this zone (6°C km −1 , Cavieres and Arroyo 1999) there is a difference of 6°C in the average temperature between our gradient's extremes.…”
Section: Methodsmentioning
confidence: 99%
“…To make a direct comparison between both variables, the river discharge measured as water volume flow were converted to mm per time unit. This conversion was performed by normalizing the streamflow data by gauge-contributing catchment area, which is provided by the CAMELS-CL dataset (Alvarez-Garreton et al, 2018).…”
Section: Local Precipitation and Streamflow Datamentioning
confidence: 99%