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Título : Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Peru
Autor : Cabrera, Juan
Tupac Yupanqui, Raul
Rau, Pedro
Palabras clave : ENSO;Extreme events;TRMM;Wavelet transform
Fecha de publicación : dic-2016
Editorial : Elsevier Ltd
URI Relacionado: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997703664&doi=10.1016%2fj.proeng.2016.07.436&partnerID=40&md5=69ae76d24f0fd04f9473b2a41d4fddbd
Resumen : 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
Correo electrónico : juancabrera@uni.edu.pe
Derechos: info:eu-repo/semantics/embargoedAccess
Aparece en las colecciones: Instituto General de Investigación (IGI)

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