  The space-temporal evaluation to characterize meteorological droughts was
based on data accumulated monthly precipitation between 1996-2005 from 20
meteorological stations distributed in the Coello River basin. Data
precipitation was performed preprocessing with data consistency tests to
correct and delete data over- or under estimated. To estimate missing
precipitation data are compared three geostatistical interpolation methods
derived from Kriging, associated with secondary variables such as the Ordinary
Kriging, CoKrigin Ordinary associated with secondary variables of a Digital
Elevation Model and data satellite TRMM. To select the statistical method the
setting of each interpolation was compared with respect to three reference
stations through three quality tests, which were Root Mean Square Error (RMSE),
Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). In
this investigation two of three tests favor the Ordinary CoKriging using as a
secondary variable Altitude (COK+DEM). With the interpolated series of
precipitation were evaluated and characterized by drought Standardized
Precipitation Index (SPI) at monthly and quarterly scale, calculating the
parameters of severity, duration, intensity and frequency of droughts. By
mapping are delimited the regions where occur the more negative values of SPI.
In analyzing spacetemporal the months of January, February, July and August are
the driest of the year. In 1997 the meteorological drought greatest damage
occurs in the Coello River basin generally concentrated in the middle and lower
part of the basin, with a maximum intensity of SPI -2,57.
