DOI: 10.1002/joc.5252
论文题名: Projected changes in mean rainfall and temperature over east Africa based on CMIP5 models
作者: Ongoma V. ; Chena H. ; Gaoa C.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期: 3 起始页码: 1375
结束页码: 1392
语种: 英语
英文关键词: Climate projection
; CMIP5
; East Africa
; Rainfall
; Temperature
Scopus关键词: Climate change
; Climate models
; Probability density function
; Temperature
; Uncertainty analysis
; Climate projection
; Climate simulation
; CMIP5
; Coupled Model Intercomparison Project
; East Africa
; Model uncertainties
; Probability density functions (PDFs)
; Rainfall climatologies
; Rain
; climate modeling
; climate prediction
; extreme event
; precipitation intensity
; seasonality
; temperature gradient
; trend analysis
; East Africa
英文摘要: This study presents potential future variations of mean rainfall and temperature over East Africa (EA) based on five models that participated in the Coupled Model Intercomparison Project Phase 5 (CMIP5) and representative concentration pathways (RCPs): 4.5 and 8.5. In this study, climate simulations of two timeframes, a baseline period (1961–1990) and projection period (2071–2100), are compared. The models reproduce EA’s bimodal rainfall pattern but overestimate and underestimate seasonal rainfall of October–December (OND) and March–May (MAM), respectively. Rainfall is projected to increase under the two scenarios. Larger increases in rainfall will occur during the OND season than during the MAM season and in RCP8.5 than in RCP4.5. During the last half of the 21st century, EA is likely to warm by 1.7–2.8 and 2.2–5.4 ∘C under the RCP4.5 and RCP8.5 scenarios, respectively, relative to the baseline period. Scenario uncertainty is projected to exceed model uncertainty from the middle to the end of the 21st century. The central parts of Kenya and the Lake Victoria Basin will witness the highest increases in seasonal rainfall. The probability density functions (PDFs) of future seasonal rainfall show a positive shift and a statistically insignificant increase in variance relative to the baseline. Thus, EA is likely to experience an increase in extreme rainfall events. Understanding the future climate variability in EA is important for planning purposes but these results are based on relatively course resolution models prone to bias and therefore should be used with caution. There is a need for further research on climate projections over EA, including determining the causes of the poor performance of global models in reproducing rainfall climatology and trends over the region. © 2017 Royal Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117135
Appears in Collections: 气候减缓与适应
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作者单位: Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Nanjing University of Information Science & Technology (NUIST), China; International Joint Research Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology (NUIST), China; Department of Meteorology, South Eastern Kenya University, Kitui, Kenya
Recommended Citation:
Ongoma V.,Chena H.,Gaoa C.. Projected changes in mean rainfall and temperature over east Africa based on CMIP5 models[J]. International Journal of Climatology,2018-01-01,38(3)