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This study evaluates the satellite technique used to estimate precipitation by GPI (Global Precipitation Index) and two adapted versions, GPId and GPIp, on the various temporal and spatial scales over the continental area. The temporal scales analyzed varied from 3 h to one month, while the spatial scale ranged from 100 to 10000 square km. The study area was the interior of the state of São Paulo, using infrared images from the Geostationary Operational Environmental Satellite 8 (GOES-8) and CAPPI data of the meteorological radar in Bauru. The GPI results and its two versions were compared to the meteorological radar data from Bauru, and the tendency, root mean square error (RMSE) and correlation for several temporal and spatial combinations for three different forms of spatial sampling. For most combinations, the optimum rates found presented smaller values than those found for the GPI. Moreover, the GPI technique overestimates the precipitation rates as compared with the radar data, while the GPIp technique slightly overestimates the precipitation rates as compared to the radar data. It was also concluded that, with small adaptations of the threshold temperature of rain and non-rain, and the precipitation rate, it is possible to estimate the precipitation with lower tendencies and mean RMSE for temporal resolutions from 3 h to monthly and areas of 100 to 10000 squ.km. for the three forms of spatial sampling analyzed.

Avaliação da Técnica de Estimativa de Precipitação GPI Sobre a Área de Abrangência do Radar de Bauru, SP