DOI: 10.1175/JCLI-D-15-0161.1
Scopus记录号: 2-s2.0-84957699693
论文题名: Coordinated global and regional climate modeling
作者: Scinocca J.F. ; Kharin V.V. ; Jiao Y. ; Qian M.W. ; Lazare M. ; Solheim L. ; Flato G.M. ; Biner S. ; Desgagne M. ; Dugas B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2016
卷: 29, 期: 1 起始页码: 17
结束页码: 35
语种: 英语
Scopus关键词: Climate change
; Climatology
; Canadian centre for climate modelling and analysis
; Climate prediction
; Global climate model
; Prognostic variables
; Regional climate modeling
; Regional climate modeling (RCM)
; Regional model
; Spatial resolution
; Climate models
; climate change
; downscaling
; global climate
; meteorology
; regional climate
英文摘要: A new approach of coordinated global and regional climate modeling is presented. It is applied to the Canadian Centre for Climate Modelling and Analysis Regional Climate Model (CanRCM4) and its parent global climate model CanESM2. CanRCM4 was developed specifically to downscale climate predictions and climate projections made by its parent global model. The close association of a regional climate model (RCM) with a parent global climate model (GCM) offers novel avenues of model development and application that are not typically available to independent regional climate modeling centers. For example, when CanRCM4 is driven by its parent model, driving information for all of its prognostic variables is available (including aerosols and chemical species), significantly improving the quality of their simulation. Additionally, CanRCM4 can be driven by its parent model for all downscaling applications by employing a spectral nudging procedure in CanESM2 designed to constrain its evolution to follow any large-scale driving data. Coordination offers benefit to the development of physical parameterizations and provides an objective means to evaluate the scalability of such parameterizations across a range of spatial resolutions. Finally, coordinating regional and global modeling efforts helps to highlight the importance of assessing RCMs' value added relative to their driving global models. As a first step in this direction, a framework for identifying appreciable differences in RCM versus GCM climate change results is proposed and applied to CanRCM4 and CanESM2. © 2016 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50092
Appears in Collections: 气候变化事实与影响
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作者单位: Canadian Centre for Climate Modelling and Analysis, Environment Canada, Victoria, BC, Canada; Consortium Ouranos, Montreal, QC, Canada; Division de Recherche en Prévision Numérique, Environment Canada, Montreal, QC, Canada
Recommended Citation:
Scinocca J.F.,Kharin V.V.,Jiao Y.,et al. Coordinated global and regional climate modeling[J]. Journal of Climate,2016-01-01,29(1)