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dc.contributor.authorDomínguez‐Castro, Fernandoes_ES
dc.contributor.authorVicente Serrano, Sergio M.es_ES
dc.contributor.authorLópez-Moreno, Juan I.es_ES
dc.contributor.authorCorrea, Krises_ES
dc.contributor.authorÁvalos, Griniaes_ES
dc.contributor.authorAzorin‐Molina, Césares_ES
dc.contributor.authorEl Kenawy, Ahmed M.es_ES
dc.contributor.authorTomás-Burguera, Miqueles_ES
dc.contributor.authorNavarro‐Serrano, Franciscoes_ES
dc.contributor.authorPeña‐Gallardo, Marinaes_ES
dc.contributor.authorGimeno, Luises_ES
dc.contributor.authorNieto, Raqueles_ES
dc.identifier.citationDomínguez‐Castro F, Vicente‐Serrano SM, López‐Moreno JI, Correa K, Ávalos G, Azorin‐Molina C, El Kenawy A, Tomas‐Burguera M, Navarro‐Serrano F, Peña‐Gallardo M, Gimeno L, Nieto R. Mapping seasonal and annual extreme precipitation over the Peruvian Andes. International Journal of Climatology 38 (15): 5459-5475 (2018)es_ES
dc.description17 Pags.- 3 Tabls.- 17 Figs.es_ES
dc.description.abstractSeasonal and annual extreme precipitation over the Peruvian Andes have been mapped for the first time. Maps were developed using the most complete, quality‐controlled and homogenous daily precipitation records in Peru from 1973 to 2016. For each observed rain gauge series, we defined parameters as the de‐clustered daily intensity, total precipitation duration, total magnitude and dry‐spell length. Then, we fitted the seasonal and annual series of these variables to a Generalized‐Pareto distribution using a peak‐over‐threshold approach. We estimated the distribution parameters and validated the performance of different thresholds to obtain the best estimation of precipitation probability. We also mapped the distribution parameters obtained for the different meteorological stations using the universal kriging algorithm, accounting for elevation and the distance to the Pacific Ocean as co‐variables. The accuracy of the extreme precipitation maps for a period of 25 and 50 years were validated using a jack‐knife approach. Some of the maps show strong uncertainty given the random spatial distribution of the variables as a consequence of the complex topography and climate of the region. Nevertheless, the maps show a useful general assessment of the spatial distribution of the precipitation hazard probability over the region, providing a good agreement with the estimations obtained in the meteorological stations for some variables and time periods analysed. Extreme precipitation maps over this high‐complex terrain of Peru are of key importance for flood risk assessment, water resources management, crop yield, soil conservation and human settlements.es_ES
dc.description.sponsorshipEuropean Commission, Grant/Award Number: Water Works 2014 IMDROFLOOD; Ministerio de Educación, Cultura y Deporte; Secretaría de Estado de Investigación, Desarrollo e Innovación, Grant/Award Number: PCIN‐2015‐220 and CGL2014‐52135‐C03‐01es_ES
dc.publisherJohn Wiley & Sonses_ES
dc.titleMapping seasonal and annual extreme precipitation over the Peruvian Andeses_ES
dc.description.peerreviewedPeer reviewedes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.contributor.funderMinisterio de Educación, Cultura y Deporte (España)es_ES
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es_ES
oprm.item.hasRevisionno ko 0 false*
dc.contributor.orcidTomás-Burguera, Miquel [0000-0002-3035-4171]es_ES
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