Abstract
Abstract. In Colombia, water resources management is carried out with insufficient hydrometeorological information in most of the territory. Natural and social conditions make it complex and difficult to densify the monitoring of primary variables for analysis. As a result, decisions often have to be made based on national scale studies, extrapolating information from areas with somewhat better monitoring coverage. The objective of this study is to estimate hydrometeorological data with a spatial resolution that allows decision making on water resources management from the national government level to the local level. For this purpose, multivariate regression models are used where data are fitted from meteorological station measurements taken for the time period 1981–2016.
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