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The Pacific–Andean region in western SouthAmerica suffers from rainfall data scarcity, as is the case formany regions in the South. An important research question iswhether the latest satellite-based and numerical weather prediction(NWP) model outputs capture well the temporal andspatial patterns of rainfall over the region, and hence havethe potential to compensate for the data scarcity. Based on aninterpolated gauge-based rainfall data set, the performanceof the Tropical Rainfall Measuring Mission (TRMM) 3B42V7 and its predecessor V6, and the North Western SouthAmerica Retrospective Simulation (OA-NOSA30) are evaluatedover 21 sub-catchments in the Pacific–Andean regionof Ecuador and Peru (PAEP).In general, precipitation estimates from TRMM and OANOSA30capture the seasonal features of precipitation in thestudy area. Quantitatively, only the southern sub-catchmentsof Ecuador and northern Peru (3.6–6◦ S) are relatively wellestimated by both products. The accuracy is considerablyless in the northern and central basins of Ecuador (0–3.6◦ S).It is shown that the probability of detection (POD) is betterfor light precipitation (POD decreases from 0.6 for rates lessthan 5 mm day−1to 0.2 for rates higher than 20 mm day−1).Compared to its predecessor, 3B42 V7 shows modest regionwideimprovements in reducing biases. The improvement isspecific to the coastal and open ocean sub-catchments. Inview of hydrological applications, the correlation of TRMMand OA-NOSA30 estimates with observations increases witCuencavol. 18; no.

Evaluation of TRMM 3B42 precipitation estimates and WRF retrospective precipitation simulation over the Pacific–Andean region of Ecuador and Peru