DOI: 10.1002/2016JD025457
论文题名: Evaluation of the COSMO-CLM high-resolution climate simulations over West Africa
作者: Dieng D. ; Smiatek G. ; Bliefernicht J. ; Heinzeller D. ; Sarr A. ; Gaye A.T. ; Kunstmann H.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期: 3 起始页码: 1437
结束页码: 1455
语种: 英语
英文关键词: COSMO-CLM
; regional climate modeling
; WASCAL
; West Africa
Scopus关键词: climate forcing
; climate modeling
; coastal zone
; data set
; monsoon
; precipitation assessment
; regional climate
; seasonal variation
; temperature gradient
; Sahel [Sub-Saharan Africa]
; West Africa
英文摘要: The evaluation of a high-resolution simulation at 0.11° (12 km) with the COnsortium for Small-scale MOdelling in CLimate Mode (CCLM) regional climate model, applied over West Africa, is presented. This simulation is nested in a CCLM run at resolution of 0.44°, driven with boundary forcing data from the ERA-Interim reanalysis, and covers the period from 1981 to 2010. The simulated temperature and precipitation are evaluated using three selected climate indices for temperature and eight indices for precipitation in five different regions against a new, daily precipitation climatology covering West Africa and against other state of the art climatologies. The obtained results indicate that CCLM is able to reproduce the observed major climate characteristics including the West African Monsoon within the range of comparable regional climate modeling evaluations studies, but substantial uncertainties remain, especially in the Sahel zone. The seasonal mean temperature bias for the rainy season from June to September ranges from −0.8°C to −1.1°C. The CCLM simulations also underestimate the observed precipitation with biases in precipitation reaching −10% in the high-resolution and −20% in the low-resolution model runs. CCLM extends the monsoon precipitation belt too far north, which results in an overestimation of precipitation in the Sahel zone of up to 60%. In the coastal zone, the precipitation is underestimated by up to −90%. These biases in precipitation amounts are associated with errors in the precipitation seasonality. The added value of the higher resolution of the nested run is reflected in a smaller bias in extreme precipitation statistics with respect to the reference data. © 2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62702
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Institute of Geography, University of Augsburg, Augsburg, Germany; Agence nationale de l'Aviation civile et de la Météorologie, Dakar, Senegal; Laboratoire de Physique de l'Atmosphere et de l'Ocean Siméon Fongang, Ecole Supérieure Polytechnique, Université Cheikh Anta Diop, Dakar-Fann, Senegal
Recommended Citation:
Dieng D.,Smiatek G.,Bliefernicht J.,et al. Evaluation of the COSMO-CLM high-resolution climate simulations over West Africa[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(3)