globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-11-00375.1
Scopus记录号: 2-s2.0-84867685774
论文题名:
Precipitation climatology in an ensemble of CORDEX-Africa regional climate simulations
作者: Nikulin G.; Jones C.; Giorgi F.; Asrar G.; Büchner M.; Cerezo-Mota R.; Christensen O.B.; Déqué M.; Fernandez J.; Hänsler A.; van Meijgaard E.; Samuelsson P.; Sylla M.B.; Sushama L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期:18
起始页码: 6057
结束页码: 6078
语种: 英语
Scopus关键词: Africa ; Diurnal effects ; Model evaluation ; Monsoons ; Regional model ; Climate control ; Mathematical models ; Precipitation (chemical) ; Climatology ; annual variation ; climate modeling ; computer simulation ; data set ; diurnal variation ; downscaling ; ensemble forecasting ; monsoon ; performance assessment ; precipitation (climatology) ; regional climate ; spatial resolution ; Africa
英文摘要: An ensemble of regional climate simulations is analyzed to evaluate the ability of 10 regional climate models (RCMs) and their ensemble average to simulate precipitation over Africa. All RCMs use a similar domain and spatial resolution of~50 km and are driven by the ECMWF Interim Re-Analysis (ERA-Interim) (1989-2008). They constitute the first set of simulations in the Coordinated Regional Downscaling Experiment in Africa (CORDEX-Africa) project. Simulated precipitation is evaluated at a range of time scales, including seasonal means, and annual and diurnal cycles, against a number of detailed observational datasets. All RCMs simulate the seasonal mean and annual cycle quite accurately, although individual models can exhibit significant biases in some subregions and seasons. The multimodel average generally outperforms any individual simulation, showing biases of similar magnitude to differences across a number of observational datasets. Moreover, many of the RCMs significantly improve the precipitation climate compared to that from their boundary condition dataset, that is, ERA-Interim. A common problem in the majority of the RCMs is that precipitation is triggered too early during the diurnal cycle, although a small subset of models does have a reasonable representation of the phase of the diurnal cycle. The systematic bias in the diurnal cycle is not improved when the ensemble mean is considered. Based on this performance analysis, it is assessed that the present set of RCMs can be used to provide useful information on climate projections over Africa. © 2012 American Meteorological Society.
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被引频次[WOS]:467   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52240
Appears in Collections:气候变化事实与影响

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作者单位: Rossby Centre, Swedish Meteorological and Hydrological Institute, Norrköping, Sweden; Abdus Salam International Centre for Theoretical Physics, Trieste, Italy; World Climate Research Programme, Geneva, Switzerland; Potsdam Institute for Climate Impact Research, Potsdam, Germany; University of Cape Town, Cape Town, South Africa; Danmarks Meteorologiske Institut, Copenhagen, Denmark; Centre National de Recherches Météorologiques, Météo-France, Toulouse, France; Universidad de Cantabria, Santander, Spain; Climate Service Center, Helmholtz-Zentrum Geesthacht, Hamburg, Germany; Koninklijk Nederlands Meteorologisch Instituut, De Bilt, Netherlands; Université du Québec à Montréal, Montréal, QC, Canada

Recommended Citation:
Nikulin G.,Jones C.,Giorgi F.,et al. Precipitation climatology in an ensemble of CORDEX-Africa regional climate simulations[J]. Journal of Climate,2012-01-01,25(18)
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