Analysis of remote sensing and in situ datasets to estimate spatial precipitation in high mountain areas: case study Cordillera Blanca, Peru

dc.creatorLoarte, Edwin
dc.creatorMedina, Katy
dc.creatorVillavicencio, Eduardo
dc.creatorLeón, Hairo
dc.creatorLavado-Casimiro, W.
dc.creatorRabatel, Antoine
dc.creatorJácome Vergaray, Gerardo
dc.creatorHunink, Johannes
dc.creatorLopez-Baeza, Ernesto
dc.date.accessioned2021-03-24T17:46:24Z
dc.date.accessioned2023-05-30T21:25:52Z
dc.date.available2021-03-24T17:46:24Z
dc.date.available2023-05-30T21:25:52Z
dc.date.created2021-03-24T17:46:24Z
dc.date.issued2021-01
dc.identifierLoarte, 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.identifierhttps://hdl.handle.net/20.500.12542/824
dc.identifierhttps://doi.org/10.5194/egusphere-egu21-8996
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6453461
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)
dc.languageeng
dc.publisherEuropean Geosciences Union
dc.relationEGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-8996
dc.relationhttps://meetingorganizer.copernicus.org/EGU21/EGU21-8996.html
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
dc.sourceRepositorio Institucional - SENAMHI
dc.sourceServicio Nacional de Meteorología e Hidrología del Perú
dc.subjectPrecipitación
dc.subjectZonas Montañosas
dc.subjectCuencas
dc.subjectRemote Sensing
dc.titleAnalysis of remote sensing and in situ datasets to estimate spatial precipitation in high mountain areas: case study Cordillera Blanca, Peru
dc.typeinfo:eu-repo/semantics/lecture


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