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dc.contributor.authorArmijos, Elisaa,
dc.contributor.authorGutierrez, Ricardo A.
dc.contributor.authorJunquas, Clémentinec
dc.contributor.authorArmijos, Elisaa
dc.contributor.authorSörensson, Anna A.
dc.contributor.authorEspinoza, Jhan-Carloc
dc.date.accessioned2024-03-15T22:16:40Z
dc.date.available2024-03-15T22:16:40Z
dc.date.issued2024
dc.identifier.issn2169897X
dc.identifier.urihttps://hdl.handle.net/20.500.12542/3168
dc.description.abstractRegional climate models (RCMs) are widely used to assess future impacts associated with climate change at regional and local scales. RCMs must represent relevant climate variables in the present-day climate to be considered fit-for-purpose for impact assessment. This condition is particularly difficult to meet over complex regions such as the Andes-Amazon transition region, where the Andean topography and abundance of tropical rainfall regimes remain a challenge for numerical climate models. In this study, we evaluate the ability of 30 regional climate simulations (6 RCMs driven by 10 global climate models) to reproduce historical (1981–2005) rainfall climatology and temporal variability over the Andes-Amazon transition region. We assess spatio-temporal features such as spatial distribution of rainfall, focusing on the orographic effects over the Andes-Amazon “rainfall hotspots” region, and seasonal and interannual precipitation variability. The Eta RCM exhibits the highest spatial correlation (up to 0.6) and accurately reproduces mean annual precipitation and orographic precipitation patterns across the region, while some other RCMs have good performances at specific locations. Most RCMs simulate a wet bias over the highlands, particularly at the eastern Andean summits, as evidenced by the 100%–2,500% overestimations of precipitation in these regions. Annual cycles are well represented by most RCMs, but peak seasons are exaggerated, especially at equatorial locations. No RCM is particularly skillful in reproducing the interannual variability patterns. Results highlight skills and weaknesses of the different regional climate simulations, and can assist in the selection of regional climate simulations for impact studies in the Andes-Amazon transition zone.es_PE
dc.formatapplication/pdfes_PE
dc.language.isospaes_PE
dc.publisherAmerican Geophysical Uniones_PE
dc.relation.uri10.1029/2023JD038618es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.sourceRepositorio Institucional - SENAMHIes_PE
dc.sourceServicio Nacional de Meteorología e Hidrología del Perúes_PE
dc.subjectClimate Modelinges_PE
dc.subjectClimatologyes_PE
dc.subjectLluviaes_PE
dc.titlePerformance of Regional Climate Model Precipitation Simulations Over the Terrain-Complex Andes-Amazon Transition Regiones_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doidoi.org/10.1029/2023JD038618
dc.identifier.journalJournal of Geophysical Research: Atmospheres
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#1.05.09es_PE
dc.publisher.countryPEes_PE
dc.subject.siniaprecipitacion - Aire y Atmósferaes_PE
dc.type.siniatext/publicacion cientificaes_PE
dc.identifier.urlhttps://hdl.handle.net/20.500.12542/3168
dc.identifier.urlhttps://hdl.handle.net/20.500.12542/3168


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