| dc.contributor | juancabrera@uni.edu.pe | |
| dc.creator | Tupac Yupanqui, Raúl | |
| dc.creator | Tupac Yupanqui, Raúl | |
| dc.creator | Cabrera, Juan | |
| dc.creator | Tupac Yupanqui, Raúl | |
| dc.creator | Rau, Pedro | |
| dc.date | 2017-07-03T21:07:02Z | |
| dc.date | 2017-07-03T21:07:02Z | |
| dc.date | 2016-12 | |
| dc.date.accessioned | 2022-12-06T19:41:57Z | |
| dc.date.available | 2022-12-06T19:41:57Z | |
| dc.identifier | 18777058 | |
| dc.identifier | http://hdl.handle.net/20.500.14076/3564 | |
| dc.identifier | Procedia Engineering | |
| dc.identifier | 10.1016/j.proeng.2016.07.436 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/5276764 | |
| dc.description | 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. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Elsevier Ltd | |
| dc.relation | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84997703664&doi=10.1016%2fj.proeng.2016.07.436&partnerID=40&md5=69ae76d24f0fd04f9473b2a41d4fddbd | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | |
| dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Universidad Nacional de Ingeniería | |
| dc.source | Repositorio Institucional - UNI | |
| dc.subject | ENSO | |
| dc.subject | Extreme events | |
| dc.subject | TRMM | |
| dc.subject | Wavelet transform | |
| dc.title | Validation of TRMM Daily Precipitation Data for Extreme Events Analysis. The Case of Piura Watershed in Peru | |
| dc.type | Artículos de revistas | |
