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

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• 作者：Juan Cabrera^a ; ^{juancabrera@uni.edu.pe" class="auth_mail" title="E-mail the corresponding author} ; Raul Tupac Yupanqui^b ; Pedro Rau^b
• 关键词：ENSO ; Extreme events ; TRMM ; Wavelet transform
• 刊名：Procedia Engineering
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：154
• 期：Complete
• 页码：154-157
• 全文大小：297 K

文摘

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.