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dc.contributor.authorAraneda Cabrera, Ronnie J.
dc.contributor.authorBermúdez Pita, María 
dc.contributor.authorPuertas, Jerónimo
dc.date.accessioned2021-11-22T08:04:46Z
dc.date.available2021-11-22T08:04:46Z
dc.date.issued2021-10-19
dc.identifier.citationRonnie J. Araneda-Cabrera, María Bermudez, Jerónimo Puertas, Revealing the spatio-temporal characteristics of drought in Mozambique and their relationship with large-scale climate variability, Journal of Hydrology: Regional Studies, Volume 38, 2021, 100938, ISSN 2214-5818, [https://doi.org/10.1016/j.ejrh.2021.100938]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/71651
dc.descriptionRonnie Araneda gratefully acknowledges financial support from the Spanish Regional Government of Galicia (Xunta de Galicia) and the European Union through the Predoctoral Grant reference ED481A-2018/162. Maria Bermudez was supported by the European Union H2020 research and innovation program under the Marie Skodowska-Curie Grant Agreement No. 754446 and the Research and Transfer Fund of the University of Granada-Athenea3i. The authors would like to thank Manuel Alvarez and Victor Penas for their comments and support during the development of the study.es_ES
dc.description.abstractStudy region: Mozambique. Study focus: Mozambique does not currently have the necessary tools for systematic monitoring and forecasting of drought at a subnational scale. The purpose of this study was to characterize drought conditions and trends throughout the country and to evaluate the influence of major climatic drivers on drought events (period 1950–2019). Drought conditions were studied by means of the Standardized Precipitation and Evapotranspiration Index (SPEI) and run theory. The principal component analysis technique and the k-means clustering method were applied for defining homogenous drought regions. The Mann-Kendall trend test and Rescaled Range statistical analysis were used for defining the temporal characteristics of drought. The cross-correlation method, a spectral analysis based on the Fast Fourier Transform and a cross-wavelet analysis, were used to identify possible climate drivers. The results are ultimately intended to contribute to the development of a drought monitoring system in this country. New hydrological insights for the region: Three homogeneous drought regions can be defined in Mozambique. The South and Centre regions showed more intense and severe drought events. In all regions, a significant trend towards a higher incidence of droughts and long-term a persistence were found. El Niño-Southern Oscillation and Darwin Sea Level Pressure anomalies were identified as significant drivers of drought variability, especially in the southern regions. These climate indices can be used as predictors in drought forecasting models.es_ES
dc.description.sponsorshipSpanish Regional Government of Galicia (Xunta de Galicia)es_ES
dc.description.sponsorshipEuropean Commission ED481A-2018/162es_ES
dc.description.sponsorshipEuropean Union H2020 research and innovation program under the Marie Skodowska-Curie Grant 754446es_ES
dc.description.sponsorshipResearch and Transfer Fund of the University of Granada-Athenea3ies_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectDroughts es_ES
dc.subjectStandardised Precipitation and Evapotranspiration Index (SPEI)es_ES
dc.subjectRegionalizationes_ES
dc.subjectTrendes_ES
dc.subjectPersistencees_ES
dc.subjectTeleconnectionses_ES
dc.subjectClimatic indiceses_ES
dc.titleRevealing the spatio-temporal characteristics of drought in Mozambique and their relationship with large-scale climate variabilityes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/754446es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.ejrh.2021.100938
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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