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dc.contributor.authorMourre, L.
dc.contributor.authorCondom, Thomas
dc.contributor.authorJunquas, C.
dc.contributor.authorLebel, T.
dc.contributor.authorSicart, Jean Emmanuel
dc.contributor.authorFigueroa, R.
dc.contributor.authorCochachín Rapre, Alejo
dc.coverage.spatialCordillera Blanca
dc.date.accessioned2018-12-31T13:11:42Z
dc.date.available2018-12-31T13:11:42Z
dc.date.issued2016-01
dc.identifier.citationMourre, L., Condom, Thomas, Junquas, C. et al.(2016) Spatio-temporal assessment of WRF, TRMM and in situ precipitation data in a tropical mountain environment (Cordillera Blanca, Peru). Hydrology and Earth System Sciences, 20(1), 125-141. doi: https://doi.org/10.5194/hess-20-125-2016es_ES
dc.identifier.issnISSN: 1027-5606, ESSN: 1607-7938es_ES
dc.identifier.urihttps://hdl.handle.net/20.500.12543/00.12543/3190
dc.descriptionFiliación institucional de autor: Alejo Cochachín Rapre /Autoridad Nacional del Agua - Unidad de Glaciología y Recursos Hídricos (ANA-UGRH), Huaraz, Perues_ES
dc.descriptionOriginal abstract: The estimation of precipitation over the broad range of scales of interest for climatologists, meteorologists and hydrologists is challenging at high altitudes of tropical regions, where the spatial variability of precipitation is important while in situ measurements remain scarce largely due to operational constraints. Three different types of rainfall products – ground based (kriging interpolation), satellite derived (TRMM3B42), and atmospheric model outputs (WRF – Weather Research and Forecasting) – are compared for 1 hydrological year in order to retrieve rainfall patterns at timescales ranging from sub-daily to annual over a watershed of approximately 10000km2 in Peru. An ensemble of three different spatial resolutions is considered for the comparison (27, 9 and 3km), as long as well as a range of timescales (annual totals, daily rainfall patterns, diurnal cycle). WRF simulations largely overestimate the annual totals, especially at low spatial resolution, while reproducing correctly the diurnal cycle and locating the spots of heavy rainfall more realistically than either the ground-based KED or the Tropical Rainfall Measuring Mission (TRMM) products. The main weakness of kriged products is the production of annual rainfall maxima over the summit rather than on the slopes, mainly due to a lack of in situ data above 3800ma.¿s.¿l.¿ This study also confirms that one limitation of TRMM is its poor performance over ice-covered areas because ice on the ground behaves in a similar way as rain or ice drops in the atmosphere in terms of scattering the microwave energy. While all three products are able to correctly represent the spatial rainfall patterns at the annual scale, it not surprisingly turns out that none of them meets the challenge of representing both accumulated quantities of precipitation and frequency of occurrence at the short timescales (sub-daily and daily) required for glacio-hydrological studies in this region. It is concluded that new methods should be used to merge various rainfall products so as to make the most of their respective strengths.es_ES
dc.descriptionArtículo en acceso abiertoes_ES
dc.description.abstractManifiesta que la estimación de la precipitación en una amplia gama de escalas de interés para climatólogos, meteorólogos e hidrólogos es considerada un desafío en las altas altitudes de las regiones tropicales, donde la variabilidad espacial de la precipitación es importante, mientras que las mediciones in situ siguen siendo escasas en gran parte debido a las limitaciones operativas. En este sentido, se compara tres tipos diferentes de productos de lluvia: basados en tierra (interpolación de kriging), derivados de satélites (TRMM3B42) y modelos atmosféricos (WRF - Weather Research and Forecasting) - durante 1 año hidrológico para recuperar patrones de lluvia en escalas de tiempo que van desde -Día anual a más de una cuenca de aproximadamente 10000 km2 en Perú. Menciona que este estudio también confirma que una limitación de TRMM es su bajo rendimiento en áreas cubiertas de hielo, concluyendo que se deben utilizar nuevos métodos para fusionar varios productos de lluvia con el fin de aprovechar al máximo sus fortalezas.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherEGUes_ES
dc.relation.ispartofseriesHydrology and Earth System Sciences, January 2016, Volume 20, Issue 1, pp 125-141es_ES
dc.relation.urihttps://www.hydrol-earth-syst-sci.net/20/125/2016/
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceAutoridad Nacional del Aguaes_ES
dc.sourceRepositorio institucional - ANAes_ES
dc.subjectEstaciones pluviométricases_ES
dc.subjectClimatologíaes_ES
dc.subjectMonitoreo de lagunas y glaciareses_ES
dc.titleSpatio-temporal assessment of WRF, TRMM and in situ precipitation data in a tropical mountain environment (Cordillera Blanca, Peru)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.5194/hess-20-125-2016es_ES


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