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dc.contributor.authorLoarte, Edwin
dc.contributor.authorMedina, Katy
dc.contributor.authorVillavicencio, Eduardo
dc.contributor.authorLeón, Hairo
dc.contributor.authorLavado-Casimiro, W.
dc.contributor.authorRabatel, Antoine
dc.contributor.authorJácome Vergaray, Gerardo
dc.contributor.authorHunink, Johannes
dc.contributor.authorLopez-Baeza, Ernesto
dc.date.accessioned2021-03-24T17:46:24Z
dc.date.available2021-03-24T17:46:24Z
dc.date.issued2021-01
dc.identifier.citationLoarte, E., Medina, K., Villavicencio, E., León, H., Lavado, W., Rabatel, A., Jacome, G., Hunink, J., and Lopez-Baeza, E.: Analysis of remote sensing and in situ datasets to estimate spatial precipitation in high mountain areas: case study Cordillera Blanca, Peru, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8996, https://doi.org/10.5194/egusphere-egu21-8996, 2021.
dc.identifier.urihttps://hdl.handle.net/20.500.12542/824
dc.description.abstractThis study focused on estimating precipitation for the Santa basin located north of the capital of Peru, assessing spatial patterns and temporal variation. Precipitation products were used at a daily temporal resolution obtained from remote sensing datasets, including CHIRPS, PERSIANN-CCS, GPM and PISCO, altitude and vegetation products as NDVI-BOKU and GDEM. Also ground-based precipitation data from weather stations were collected from 35 meteorological stations (2012 -2019)es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherEuropean Geosciences Uniones_PE
dc.relation.isreferencedbyEGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8996
dc.relation.urihttps://meetingorganizer.copernicus.org/EGU21/EGU21-8996.htmles_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
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 - SENAMHIes_PE
dc.sourceServicio Nacional de Meteorología e Hidrología del Perúes_PE
dc.subjectPrecipitaciónes_PE
dc.subjectZonas Montañosases_PE
dc.subjectCuencases_PE
dc.subjectRemote Sensingen_US
dc.titleAnalysis of remote sensing and in situ datasets to estimate spatial precipitation in high mountain areas: case study Cordillera Blanca, Peruen_US
dc.typeinfo:eu-repo/semantics/lecture
dc.identifier.doihttps://doi.org/10.5194/egusphere-egu21-8996
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.11


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