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dc.contributor.authorCabrera, Juan-
dc.contributor.authorTupac Yupanqui, Raúl-
dc.contributor.authorRau, Pedro-
dc.creatorTupac Yupanqui, Raúl-
dc.creatorTupac Yupanqui, Raúl-
dc.description.abstractThe 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
dc.publisherElsevier Ltdes
dc.sourceUniversidad Nacional de Ingenieríaes
dc.sourceRepositorio Institucional - UNIes
dc.subjectExtreme eventses
dc.subjectWavelet transformes
dc.titleValidation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Perues
dc.identifier.journalProcedia Engineeringes
Appears in Collections:Instituto General de Investigación (IGI)

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