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The space-temporal evaluation to characterize meteorological droughts wasbased on data accumulated monthly precipitation between 1996-2005 from 20meteorological stations distributed in the Coello River basin. Dataprecipitation was performed preprocessing with data consistency tests tocorrect and delete data over- or under estimated. To estimate missingprecipitation data are compared three geostatistical interpolation methodsderived from Kriging, associated with secondary variables such as the OrdinaryKriging, CoKrigin Ordinary associated with secondary variables of a DigitalElevation Model and data satellite TRMM. To select the statistical method thesetting of each interpolation was compared with respect to three referencestations through three quality tests, which were Root Mean Square Error (RMSE),Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Inthis investigation two of three tests favor the Ordinary CoKriging using as asecondary variable Altitude (COK+DEM). With the interpolated series ofprecipitation were evaluated and characterized by drought StandardizedPrecipitation Index (SPI) at monthly and quarterly scale, calculating theparameters of severity, duration, intensity and frequency of droughts. Bymapping are delimited the regions where occur the more negative values of SPI.In analyzing spacetemporal the months of January, February, July and August arethe driest of the year. In 1997 the meteorological drought greatest damageoccurs in the Coello River basin generally concentrated in the middle and lowerpart of the basin, with a maximum intensity of SPI -2,57.

Approach to spatial estimation of meteorological droughts in the Coello River basin, Colombia