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dc.contributor.authorCorrea, Sly Wongchuigpt_BR
dc.contributor.authorKitambo, Benjaminpt_BR
dc.contributor.authorPapa, Fabricept_BR
dc.contributor.authorParis, Adrienpt_BR
dc.contributor.authorFleischmann, Ayan Santospt_BR
dc.contributor.authorGal, Laetitiapt_BR
dc.contributor.authorBoucharel, Julienpt_BR
dc.contributor.authorPaiva, Rodrigo Cauduro Dias dept_BR
dc.contributor.authorOliveira, Rômulo Jucápt_BR
dc.contributor.authorTshimanga, Raphael M.pt_BR
dc.contributor.authorCalmant, Stephanept_BR
dc.date.accessioned2024-02-29T04:58:29Zpt_BR
dc.date.issued2023pt_BR
dc.identifier.issn2214-5818pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/272440pt_BR
dc.description.abstractStudy region: The Congo River basin (CRB), the world's second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Study focus: Here we present an improved 40-year (1981-2020) hydrological reanalysis of daily CRB discharge and analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Nin similar to o-Southern Oscillation (ENSO), the dominant driver of tropical precipitation. We employ a large-scale hydrologic-hydrodynamic model (MGB) with lake storage dynamics representation and a data assimilation (DA) technique using in-situ and remote sensing observations. New Hydrological Insights: The MGB model demonstrates satisfactory performance, with KlingGupta efficiency metric of 0.84 and 0.71 for calibration and validation, respectively. Incorporating lake representation substantially enhances simulations, increasing the Pearson correlation coefficient from 0.3 to 0.63. Additionally, DA yields a -13% reduction in discharge errors via cross-validation. We find that the 1997-1998 flood impacting the south and central CRB is statistically linked to a major El Nin similar to o event during that period. However, no such association is found for the 2019-2020 flood. Severe droughts in 1983-1984 and 2011-2012, affecting northern and southern CRB respectively, exhibit strong correlation with preceding El Nin similar to o and La Nin similar to a events, with a -10-12 months lag. This study advances understanding of the intricate interplay between spatiotemporal hydrological variability in CRB and large-scale climate phenomena like ENSO.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofJournal of hydrology: regional studies. Amsterdam. Vol. 50 (Dec. 2023), [Article] 101563, 21 p.pt_BR
dc.rightsOpen Accessen
dc.subjectHydrological reanalysisen
dc.subjectEventos extremospt_BR
dc.subjectSecapt_BR
dc.subjectHydrological-hydrodynamic modelingen
dc.subjectLakes storageen
dc.subjectInundaçõespt_BR
dc.subjectDynamicsen
dc.subjectReanálise (Meteorologia)pt_BR
dc.subjectData assimilationen
dc.subjectDados hidrológicospt_BR
dc.subjectModelos hidrodinâmicospt_BR
dc.subjectCongo River basinen
dc.subjectModelos hidrológicospt_BR
dc.subjectHydrological extreme eventsen
dc.subjectModelo MGB-IPHpt_BR
dc.subjectCongo, Rio (Congo)pt_BR
dc.titleImproved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnectionspt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb001197385pt_BR
dc.type.originEstrangeiropt_BR


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