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Validation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South America

dc.contributor.authorLópez-Bermeo C
dc.contributor.authorMontoya R.D
dc.contributor.authorCaro-Lopera F.J
dc.contributor.authorDíaz-García J.A.
dc.date.accessioned2023-10-24T19:26:37Z
dc.date.available2023-10-24T19:26:37Z
dc.date.created2022
dc.identifier.issn14747065
dc.identifier.urihttp://hdl.handle.net/11407/8154
dc.description.abstractThis study aims to validate the accuracy of the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) dataset at representing climate variability over various time scales. The study is carried out in Antioquia, in northwestern Colombia, and uses statistically independent information provided by 75 rain gauges located at different sites from 1981 to 2018. In this study, statistical metrics are used to analyze the error structure of the CHIRPS data. Resilient methods for validation are included based on Gauss-Markov diagnostic problems and influence points, leverage, and outliers in the form of the trimmed least squares boot method and principal component analysis. To represent the performance of CHIRPS more accurately at estimating precipitation at different time scales, a comparison is made using 12 specific rain gauge located in different subregions of Antioquia, which had well-differentiated climatic characteristics. The results show that the accuracy of CHIRPS estimates is conditioned by geographic and climatic characteristics of the region in which precipitation events occur. CHIRPS works well in most weather conditions in Antioquia, even during the most intense periods of ENSO. However, it does better in the Andean subregions and underperforms in warmer regions. This study finds that CHIRPS is a rainfall data source that can be considered for analyzing seasonal and interannual variability and spatial precipitation patterns. It provides good spatio-temporal coverage and is particularly suitable for areas with few rainfall gauges. However, its accuracy is minimal for daily analysis. © 2022 The Authorseng
dc.language.isoeng
dc.publisherElsevier Ltd
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85133912539&doi=10.1016%2fj.pce.2022.103184&partnerID=40&md5=95bca8e4f50b45fc7b1664d8131e1cf4
dc.sourcePhys. Chem. Earth
dc.sourcePhysics and Chemistry of the Eartheng
dc.subjectCHIRPSeng
dc.subjectClimate variabilityeng
dc.subjectRain gaugeeng
dc.subjectSatellite-based precipitationeng
dc.subjectSpatiotemporal validationeng
dc.subjectTropical Andeseng
dc.titleValidation of the accuracy of the CHIRPS precipitation dataset at representing climate variability in a tropical mountainous region of South Americaeng
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Civilspa
dc.type.spaArtículo
dc.identifier.doi10.1016/j.pce.2022.103184
dc.relation.citationvolume127
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationLópez-Bermeo, C., Grupo de Investigación en Modelación Hídrica y Calidad del Agua-GICAMH, Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, Medellín, Colombia
dc.affiliationMontoya, R.D., Grupo de Investigación en Modelación Hídrica y Calidad del Agua-GICAMH, Facultad de Ingeniería, Universidad de Medellín, Carrera 87 30-65, Medellín, Colombia
dc.affiliationCaro-Lopera, F.J., Grupo de Investigación en Materiales Nanoestructurados y Biomodelación, Facultad de Ciencias Básicas, Universidad de Medellín, Carrera 87 30-65, Medellín, Colombia
dc.affiliationDíaz-García, J.A., Grupo de Investigación en Teoría de Formas, Bravais-Moiré y Matrices Aleatorias, Facultad de Ciencias Básicas, Universidad de Medellín, Carrera 87 30-65, Medellín, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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