DOI: 10.1016/j.atmosres.2017.12.001
Scopus记录号: 2-s2.0-85037815372
论文题名: Characterization of the Sahelian-Sudan rainfall based on observations and regional climate models
作者: Salih A.A.M. ; Elagib N.A. ; Tjernström M. ; Zhang Q.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 202 起始页码: 205
结束页码: 218
语种: 英语
英文关键词: Climate model evaluation
; Precipitation
; Rain-day analysis
; Regional modeling
; Sahel
Scopus关键词: Climate change
; Climate models
; Gages
; Precipitation (chemical)
; Precipitation (meteorology)
; Rain gages
; Uncertainty analysis
; Climate variability and change
; Model evaluation
; Regional climate modeling
; Regional climate models
; Regional model
; Rossby center atmospherics
; Sahel
; Tropical rainfall measuring missions
; Rain
; arid region
; atmospheric modeling
; climate change
; climate modeling
; climate variation
; precipitation (climatology)
; rainfall
; raingauge
; regional climate
; semiarid region
; Sahel [Sub-Saharan Africa]
; Sudan
英文摘要: The African Sahel region is known to be highly vulnerable to climate variability and change. We analyze rainfall in the Sahelian Sudan in terms of distribution of rain-days and amounts, and examine whether regional climate models can capture these rainfall features. Three regional models, Regional Model (REMO), Rossby Center Atmospheric Model (RCA) and Regional Climate Model (RegCM4), are evaluated against gridded observations (Climate Research Unit, Tropical Rainfall Measuring Mission, and ERA-interim reanalysis) and rain-gauge data from six arid and semi-arid weather stations across Sahelian Sudan over the period 1989 to 2008. Most observed rain-days are characterized by weak (0.1–1.0 mm/day) to moderate (> 1.0–10.0 mm/day) rainfall, with average frequencies of 18.5% and 48.0% of the total annual rain-days, respectively. Although very strong rainfall events (> 30.0 mm/day) occur rarely, they account for a large fraction of the total annual rainfall (28–42% across the stations). The performance of the models varies both spatially and temporally. RegCM4 most closely reproduces the observed annual rainfall cycle, especially for the more arid locations but all three models fail to capture the strong rainfall events and hence underestimate its contribution to the total annual number of rain-days and rainfall amount. However, excessive moderate rainfall compensates this underestimation in the models in an annual average sense. The present study uncovers some of the models' limitations in skillfully reproducing the observed climate over dry regions and will aid model users in recognizing the uncertainties in the model output and help climate and hydrological modeling communities in improving models. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108964
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Meteorology, Stockholm University, Stockholm, Sweden; Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Technische Hochschule Köln, Cologne, 50679, Germany; Department of Physical Geography, Stockholm University, Stockholm, Sweden; Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
Recommended Citation:
Salih A.A.M.,Elagib N.A.,Tjernström M.,et al. Characterization of the Sahelian-Sudan rainfall based on observations and regional climate models[J]. Atmospheric Research,2018-01-01,202