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dc.contributor.authorAybar Camacho, Cesar Luis
dc.contributor.authorFernández, C.
dc.contributor.authorHuerta, Adrian
dc.contributor.authorLavado-Casimiro, W.
dc.contributor.authorVega-Jácome, Fiorella
dc.contributor.authorFelipe-Obando, Oscar
dc.date.accessioned2020-03-20T06:12:23Z
dc.date.available2020-03-20T06:12:23Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/20.500.12542/288
dc.description.abstractA new gridded rainfall dataset available for Peru is introduced, called PISCOp V2.1 (Peruvian Interpolated data of SENAMHI’s Climatological and Hydrological Observations). PISCOp has been developed for the period 1981 to the present, with an average latency of eight weeks at 0.1° spatial resolution. The merging algorithm is based on geostatistical and deterministic interpolation methods including three different rainfall sources: (i) the national quality-controlled and infilled raingauge dataset, (ii) radar-gauge merged precipitation climatologies and (iii) the Climate Hazards Group Infrared Precipitation (CHIRP) estimates. The validation results suggest that precipitation estimates are acceptable showing the highest performance for the Pacific coast and the western flank of the Andes. Furthermore, a meticulous quality-control and gap-infilling procedure allowed us to reduce the formation of inhomogeneities (non-climatic breaks). The dataset is publicly available at https://piscoprec.github.io/ and is intended to support hydrological studies and water management practices.en_US
dc.language.isoengen_US
dc.publisherTaylor and Francisen_US
dc.relation.ispartofurn:issn:2150-3435
dc.relation.urihttps://www.tandfonline.com/doi/abs/10.1080/02626667.2019.1649411?journalCode=thsj20
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourceRepositorio Institucional - SENAMHIen_US
dc.sourceServicio Nacional de Meteorología e Hidrología del Perúen_US
dc.subjectClimatologíaen_US
dc.subjectLluviaen_US
dc.subjectAbastecimiento de Aguaen_US
dc.subjectRadaren_US
dc.subjectAlgoritmoen_US
dc.titleConstruction of a high-resolution gridded rainfall dataset for Peru from 1981 to the present dayen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.isni0000 0001 0746 0446
dc.description.peerreviewPor pares
dc.identifier.doihttps://doi.org/10.1080/02626667.2019.1649411
dc.identifier.journalHydrological Sciences Journal
dc.subject.siniaprecipitacion - Clima y Eventos Naturales
dc.type.siniatext/publicacion cientifica
dc.identifier.urlhttps://hdl.handle.net/20.500.12542/288


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