Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Peru

Abstract

The use of TRMM satellite daily information (Tropical Rainfall Measuring Mission) is proposed to estimate extreme precipitation over ungauged areas and time periods. Assuming precipitation non-stationarity as signal fluctuations due to the ENSO impact, it is possible to find common features between in-situ and TRMM data sets by multi-resolution analysis (MRA) with wavelet transform, especially during the wet period where maximal precipitation series are obtained. This method could be applied on other stations as a regionalization for obtaining rainfall datasets as a solution of data scarcity. It is shown some results obtained into the objectives of a local project of improving the statistical downscaling of TRMM and its applicability in water engineering projects.