CAMELS-COL: A Large-Sample Hydrometeorological Dataset for Colombia

This is the CAMELS-COL dataset (Catchment Attributes and MEteorology for Large-sample Studies - Colombia) presented in the paper by Jimenez et al., CAMELS-COL: A Large-Sample Hydrometeorological Dataset for Colombia. This dataset provides daily observed streamflow and meteorological time series, along with more than 71 catchment attributes, for 346 river basins across Colombia. The available hydrometeorological time series include:(i) observed streamflow with quality control metadata,(ii) potential evapotranspiration, and(iii) minimum, average, and maximum temperature. The catchment attributes encompass:(i) Catchment information,(ii) Physiographic characteristics,(iii) Hydrometeorological data,(iv) Climatic indices,(v) Hydrological signatures.(vi) Land cover characteristics(vii) Geologic characteristics.(viii) Soil characteristics.(ix) Land Use Capability This dataset follows the same standards as other CAMELS datasets, including those for the United States (https://doi.org/10.5194/hess-21-5293-2017), Chile (https://doi.org/10.5194/hess-22-5817-2018), Great Britain (https://doi.org/10.5194/essd-2020-49), and Brazil (https://doi.org/10.5194/essd-12-2075-2020).