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Hydrometeorological time series for "Cauquenes en El Arrayan" catchment

Cauquenes7336001.Rd

Daily time series of precipitation, maximum air temperature, minimum air temperature, potential evapotranspiration, and observed streamflows for the catchment draining into the 'Cauquenes en El Arrayan' streamflow station (Cod.BNA: 7336001, Lat:-36.02, Lon:-72.38). This catchment is located in El Maule Region in Chile, with a pluvial regime, a total drainage area of 622.1 km2, and elevations ranging from 134 to 736 m a.s.l. Data were downloaded from the CAMELS-CL dataset (https://camels.cr2.cl) from 01/Jan/1979 to 31/Dec/2019 (including some missing values).

Usage

data(Cauquenes7336001)

Format

zoo matrix with 5 time series:
-) P_mm: Spatially-averaged mean daily values of precipitation computed based on the CR2met dataset, [mm/day].
-) Tmx_degC: Spatially-averaged maximum daily values of air temperature computed based on the CR2met dataset, [degree Celsius].
-) Tmin_degC: Spatially-averaged minimum daily values of air temperature computed based on the CR2met dataset, [degree Celsius].
-) PET_mm: Spatially-averaged mean daily values of precipitation computed based on the Hargreaves-Samani equation and daily maximum and minimum air temperatures obtained from the CR2met dataset, [mm/day].
-) Qobs_mm: Daily sreamflows, [mm], measured at the "Cauquenes en El Arrayan" (7336001) station.
-) Qobs_m3s: Daily sreamflows, [m3/s], measured at the "Cauquenes en El Arrayan" (7336001) station.

Source

Provided by Center for Climate and Resilience Research, Universidad de Chile, Santiago, Chile (https://camels.cr2.cl/, last accessed [Nov 2023]).
These data are intended to be used for research purposes only, being distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.

References

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 (2018). The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies-Chile dataset. Hydrology and Earth System Sciences, 22(11), 5817-5846. doi:10.5194/hess-22-5817-2018.