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The available satellite-derived estimates of rainfall, product of various algorithms, reveal unsystematic errors when compared to in-situ measured data. This acknowledgement, its low resolution, and the impossibility of spatially distribute the bias correction make these estimates useless for accurate basinscale hydrological modeling. An initial downscaling scheme is presented in this paper, which main basis is the linkage of characteristics of in-situ measurements with the inter-scale relationships of statistical parameters that describe the spatial distribution of local fluctuations of rainfall intensity. The results show the next path along which later research should be conducted in order to take advantage of these datasets.

MULTISCALING ANALYSIS OF SATELLITE-DERIVED PRECIPITATION ESTIMATES LINKED TO IN-SITU MEASUREMENTS