Please use this identifier to cite or link to this item: http://cybertesis.uni.edu.pe/handle/uni/3564
Full metadata record
DC FieldValueLanguage
dc.contributor.authorCabrera, Juan-
dc.contributor.authorTupac Yupanqui, Raúl-
dc.contributor.authorRau, Pedro-
dc.creatorTupac Yupanqui, Raúl-
dc.creatorTupac Yupanqui, Raúl-
dc.date.accessioned2017-07-03T21:07:02Z-
dc.date.available2017-07-03T21:07:02Z-
dc.date.issued2016-12-
dc.identifier.issn18777058-
dc.identifier.urihttp://cybertesis.uni.edu.pe/handle/uni/3564-
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 projects.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevier Ltdes
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84997703664&doi=10.1016%2fj.proeng.2016.07.436&partnerID=40&md5=69ae76d24f0fd04f9473b2a41d4fddbdes
dc.rightsinfo:eu-repo/semantics/embargoedAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es
dc.sourceUniversidad Nacional de Ingenieríaes
dc.sourceRepositorio Institucional - UNIes
dc.subjectENSOes
dc.subjectExtreme eventses
dc.subjectTRMMes
dc.subjectWavelet transformes
dc.titleValidation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Perues
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.journalProcedia Engineeringes
dc.identifier.doi10.1016/j.proeng.2016.07.436es
dc.contributor.emailjuancabrera@uni.edu.pees
Appears in Collections:Instituto General de Investigación (IGI)

Files in This Item:
File Description SizeFormat 
Validation of TRMM Daily Precipitation Data for Extreme Events Analysis.pdf137,77 kBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons

Indexado por:
Indexado por Scholar Google LaReferencia Concytec BASE renati ROAR ALICIA RepoLatin UNI