Coupled Model Intercomparison Project Phase 6 simulations of the spatial structure of rainfall variability over East Africa: Evaluation and projection
被引:9
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作者:
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Mbigi, Dickson
[1
,2
,3
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Onyango, Augustine Omondi
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机构:
Univ Chinese Acad Sci, Beijing, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R China
Onyango, Augustine Omondi
[2
]
Mtewele, Zacharia Florence
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机构:
Univ Chinese Acad Sci, Beijing, Peoples R China
Univ Dar Es Salaam, Dept Phys, Dar Es Salaam, TanzaniaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R China
Mtewele, Zacharia Florence
[2
,3
]
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Kiprotich, Paul
[4
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Xiao, Ziniu
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机构:
Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R ChinaChinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R China
Xiao, Ziniu
[1
]
机构:
[1] Chinese Acad Sci, State Key Lab Numer Modeling Atmospher Sci & Geop, Inst Atmospher Phys, Beijing, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
[3] Univ Dar Es Salaam, Dept Phys, Dar Es Salaam, Tanzania
[4] Chinese Acad Sci, Sino Africa Joint Res Ctr, Wuhan, Peoples R China
CMIP6;
East Africa;
empirical orthogonal function;
rainfall variability;
EARTH SYSTEM MODEL;
INTERANNUAL VARIABILITY;
GREATER HORN;
LEADING MODES;
DIPOLE MODE;
CLIMATE;
VERSION;
MARCH;
TEMPERATURE;
INSTITUTE;
D O I:
10.1002/joc.7868
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Modifications in rainfall patterns may have significant effects on a variety of natural and human systems. This study evaluates the ability of 20 Coupled Model Intercomparison Project Phase 6 (CMIP6) to simulate the interannual variability of rainfall over East Africa (EA) using a method based on the empirical orthogonal function (EOF) analysis. The future changes in rainfall variability during the near (2021-2040), middle (2041-2060) and late (2080-2099) future are analysed under two different shared socioeconomic pathways (SSP), SSP2-4.5 and SSP5-8.5. Results reveal that most models captured better spatial climatological rainfall pattern than simulated amplitude in the EA region receiving bimodal rainfall pattern (EABM) compared to that with unimodal rainfall regime (EAUM) in the historical period. An ensemble mean of all models (AMME) and a set of 13 models that best simulated the rainfall variability in the base period were selected using a robust method based on the EOF analysis for further analysis. Most of the selected models and their ensemble mean (BMME) displayed good capability in representing the annual standard deviation (SD) in recent decades, whereas BMME corroborates AMME, particularly over the EABM and EAUM regions. Based on these findings, the AMME and BMME were used to evaluate the future changes in rainfall variability. The models project a significant increase in rainfall variability during March by the mid and late 21st century over the EAUM region under SSP5-8.5, whereas the increase appears much earlier in the near-future over the EABM region. In all future periods and SSPs, SD demonstrates a considerable increase over most of the EABM region, and the magnitude gradually increases from the AMME to BMME projections. Moreover, a relatively stronger increase is anticipated to actualize by the mid of 21st century.
机构:
School of Oceanography, Shanghai Jiao Tong UniversitySchool of Oceanography, Shanghai Jiao Tong University
Cong Gao
Lei Zhou
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School of Oceanography, Shanghai Jiao Tong University
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)School of Oceanography, Shanghai Jiao Tong University
机构:
Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Nanjing Univ, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing 210023, Peoples R China
Nanjing Univ, Inst Climate & Global Change Res, Nanjing 210023, Peoples R ChinaNanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Li, Xiao
Liu, Yawen
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Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Nanjing Univ, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing 210023, Peoples R China
Nanjing Univ, Inst Climate & Global Change Res, Nanjing 210023, Peoples R ChinaNanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Liu, Yawen
Wang, Minghuai
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机构:
Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Nanjing Univ, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing 210023, Peoples R China
Nanjing Univ, Inst Climate & Global Change Res, Nanjing 210023, Peoples R ChinaNanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Wang, Minghuai
Jiang, Yiquan
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Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R ChinaNanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Jiang, Yiquan
Dong, Xinyi
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Nanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
Nanjing Univ, Joint Int Res Lab Atmospher & Earth Syst Sci, Nanjing 210023, Peoples R China
Nanjing Univ, Inst Climate & Global Change Res, Nanjing 210023, Peoples R ChinaNanjing Univ, Sch Atmospher Sci, Nanjing, Peoples R China
机构:
TU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, GermanyTU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany
Herrera-Lormendez, Pedro
Mastrantonas, Nikolaos
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TU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany
European Ctr Medium Range Weather Forecast, Reading, Berks, EnglandTU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany
Mastrantonas, Nikolaos
Douville, Herve
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机构:
CNRS, Meteo France, Ctr Natl Rech Meteorol, Toulouse, FranceTU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany
Douville, Herve
Hoy, Andreas
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TU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, GermanyTU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany
Hoy, Andreas
Matschullat, Joerg
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TU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, GermanyTU Bergakad Freiberg, Interdisciplinary Environm Res Ctr, Freiberg, Germany