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Precipitation monitoring is of utmost importance for water resource management. However, in regions of complex terrain such as\udEcuador, the high spatio-temporal precipitation variability and the scarcity of rain gauges, make difficult to obtain accurate estimations\udof precipitation. Remotely sensed estimated precipitation, such as the Multi-satellite Precipitation Analysis TRMM, can cope with this\udproblem after a validation process, which must be representative in space and time. In this work we validate monthly estimates from\udTRMM 3B43 satellite precipitation (0.25° x 0.25° resolution), by using ground data from 14 rain gauges in Ecuador. The stations are\udlocated in the 3 most differentiated regions of the country: the Pacific coastal plains, the Andean highlands, and the Amazon rainforest.\udTime series, between 1998 – 2010, of imagery and rain gauges were compared using statistical error metrics such as bias, root mean\udsquare error, and Pearson correlation; and with detection indexes such as probability of detection, equitable threat score, false alarm\udrate and frequency bias index. The results showed that precipitation seasonality is well represented and TRMM 3B43 acceptably\udestimates the monthly precipitation in the three regions of the country. According to both, statistical error metrics and detection indexes,\udthe coastal and Amazon regions are better estimated quantitatively than the Andean highlands. Additionally, it was found that there\udare better estimations for light precipitation rates. The present validation of TRMM 3B43 provides important results to support further\udstudies on calibration and bias correction of precipitation in ungagged watershed basins

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

VALIDATION OF SATELLITE PRECIPITATION (TRMM 3B43) IN ECUADORIAN COASTAL PLAINS, ANDEAN HIGHLANDS AND AMAZONIAN RAINFOREST