The Sudd Wetland, which supports millions of pastoralists and farmers, as well as the internationally renowned Ramsar Wetland, 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-degrees mean annual temperature with high spatio-temporal variations. It receives the highest precipitation in 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, whereas the spring and autumn seasons are more connected with Atlantic and Indian Ocean Sea surface temperature gradients. The Sudd wetland has been affected by prolonged drought and frequent flood events alternatively. The prolonged drought linking with the shrinking of the wetland are potential threats to the farmers and pastoralists to adapt the changing climate. Hence, it is imperative to systematically analyze the wetland ecosystem from different dimensions and adjust the livelihood settings of the people in to less climate sensitive activities. Therefore, we suggest in depth drought and flood risk evaluation and implementation of realistic adaptation strategy to sustain the ecological and economic benefit of the wetland.
机构:
METEO France, F-31057 Toulouse 1, France
Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USAMETEO France, F-31057 Toulouse 1, France
Tourre, Y. M.
Jarlan, L.
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Ctr Etud Spatiales Biosphere CESBIO, F-31401 Toulouse 4, FranceMETEO France, F-31057 Toulouse 1, France
Jarlan, L.
Lacaux, J-P
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Univ Toulouse 3, Observ Midi Pyrenees, F-31400 Toulouse, FranceMETEO France, F-31057 Toulouse 1, France
Lacaux, J-P
Rotela, C. H.
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Univ Nacl Cordoba, Comis Nacl Actividades Espaciales CONAE, Inst Altos Estudios Espaciales Mario Gulich, RA-5000 Cordoba, ArgentinaMETEO France, F-31057 Toulouse 1, France
Rotela, C. H.
Lafaye, M.
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DSP ARP AV, CNES, F-31401 Toulouse 4, FranceMETEO France, F-31057 Toulouse 1, France
机构:
North China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R China
Men, Baohui
Wu, Zhijian
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North China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R China
Wu, Zhijian
Liu, Huanlong
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North China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R ChinaNorth China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R China
Liu, Huanlong
Tian, Wei
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Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R ChinaNorth China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R China
Tian, Wei
Zhao, Yong
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China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R ChinaNorth China Elect Power Univ, Renewable Energy Inst, Beijing Key Lab Energy Safety & Clean Utilizat, Beijing 102206, Peoples R China