Analysis of spatio-temporal precipitation and temperature variability and trend over Sudd-Wetland, Republic of South Sudan

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cg.authorship.typesCGIAR and developing country instituteen
cg.contributor.affiliationUniversity of Jubaen
cg.contributor.affiliationAddis Ababa Universityen
cg.contributor.affiliationBioversity International and International Center for Tropical Agricultureen
cg.contributor.initiativeClimate Resilience
cg.coverage.countrySouth Sudan
cg.coverage.iso3166-alpha2SS
cg.coverage.regionAfrica
cg.coverage.regionEastern Africa
cg.coverage.regionSub-Saharan Africa
cg.creator.identifierTadesse Terefe Zeleke: 0000-0001-5189-8189
cg.identifier.doihttps://doi.org/10.1016/j.cliser.2024.100451en
cg.isijournalISI Journalen
cg.issn2405-8807en
cg.journalClimate Servicesen
cg.reviewStatusPeer Reviewen
cg.subject.alliancebiovciatCLIMATE CHANGEen
cg.subject.impactAreaClimate adaptation and mitigation
cg.volume34en
dc.contributor.authorZeleke, Tadesse Terefeen
dc.contributor.authorLukwas, Andu Zakaria Wanien
dc.contributor.authorBeketie, Kassahun Tureen
dc.contributor.authorAyal, Desalegn Yayelen
dc.date.accessioned2025-03-10T15:40:16Zen
dc.date.available2025-03-10T15:40:16Zen
dc.identifier.urihttps://hdl.handle.net/10568/173548
dc.titleAnalysis of spatio-temporal precipitation and temperature variability and trend over Sudd-Wetland, Republic of South Sudanen
dcterms.abstractThe Sudd Wetland, which supports millions of pastoralists and farmers, as well as the internationally renowned Ramsar Wetlands, are under pressure from population growth and climate change extremes such as flooding and drought. Using the Climate Hazards Group Infrareds Precipitation with Station (CHIRPS) and Climate Research Unit (CRU-TS4.06) datasets, this study investigates the spatiotemporal trend and variability of precipitation and temperature. As a result, descriptive statistics were used to describe the spatiotemporal behavior of precipitation and temperature. The Rotated Empirical Orthogonal Function (REOF) was used to detect the spatiotemporal variability of precipitation. The Pearson correlation method was used to investigate the relationship between Sea Surface Temperature (SST) and precipitation. The results revealed that Sudd-wetland receives 910 mm mean spatial annual precipitation and experienced 36 ◦C mean annual temperature with high spatiotemporal variations. It receives the highest precipitation in the summer season followed by autumn and spring. The precipitation amount decreases towards the north in all seasons. In both the summer and winter seasons, observed rainfall variability corresponds substantially to ENSO variability. In contrast, the spring and autumn seasons are more connected with Atlantic and Indian Ocean Sea surface temperature gradients. Alternatively, the Sudd wetland has been affected by prolonged drought and frequent flood events. The prolonged drought linked with the shrinking of the wetland are potential threat to the farmers and pastoralists to adapt to the changing climate. Hence, it is imperative to systematically analyze the wetland ecosystem from different dimensions and adjust the livelihood settings of the people to less climate-sensitive activities. Therefore, we suggest in-depth drought and flood risk evaluation and implementation of a realistic adaptation strategy to sustain the ecological and economic benefit of the wetland.en
dcterms.accessRightsOpen Access
dcterms.bibliographicCitationZeleke, T.T.; Lukwas, A.Z.W.; Beketie, K.T.; Ayal, D.Y. (2024) Analysis of spatio-temporal precipitation and temperature variability and trend over Sudd-Wetland, Republic of South Sudan. Climate Services 34: 100451. ISSN: 2405-8807en
dcterms.extent100451en
dcterms.issued2024-02-01
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.publisherElsevieren
dcterms.subjectprecipitationen
dcterms.subjecttemperatureen
dcterms.subjectdrought indexen
dcterms.typeJournal Article

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