Please use this identifier to cite or link to this item: http://cybertesis.uni.edu.pe/handle/uni/3564
Title: Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Peru
Authors: Cabrera, Juan
Tupac Yupanqui, Raúl
Rau, Pedro
Keywords: ENSO;Extreme events;TRMM;Wavelet transform
Issue Date: Dec-2016
Publisher: Elsevier Ltd
Related URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997703664&doi=10.1016%2fj.proeng.2016.07.436&partnerID=40&md5=69ae76d24f0fd04f9473b2a41d4fddbd
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.
URI: http://cybertesis.uni.edu.pe/handle/uni/3564
ISSN: 18777058
E-mail: juancabrera@uni.edu.pe
Rights: info:eu-repo/semantics/embargoedAccess
Appears in Collections:Instituto General de Investigación (IGI)

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