DOI: 10.1007/s00382-017-4020-3
Scopus记录号: 2-s2.0-85035131753
论文题名: A coupled dynamical-copula downscaling approach for temperature projections over the Canadian Prairies
作者: Zhou X. ; Huang G. ; Wang X. ; Fan Y. ; Cheng G.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2018
卷: 51, 期: 2018-07-08 起始页码: 2413
结束页码: 2431
语种: 英语
英文关键词: Canadian Prairies
; Copula
; Dynamical downscaling
; Projected changes
Scopus关键词: climate change
; climate modeling
; climate prediction
; comparative study
; downscaling
; probability
; temperature anomaly
; Canada
; Prairie Provinces
英文摘要: In this study, a coupled dynamical-copula downscaling approach was developed through integrating the Providing Regional Climates for Impacts Studies (PRECIS) modeling system and the copula method. This approach helps to reflect detailed features at local scales based on dynamical downscaling, while also effectively simulating the interactions between large-scale atmospheric variables (predictors) and local surface variables (predictands). The performance of the proposed approach in reproducing historical climatology of the Canadian Prairies was evaluated through comparison with observations. Future climate projections generated by the developed approach were analyzed over three time slices (i.e., the 2030s, 2050s, and 2080s) to help understand the plausible changes in temperature over the Canadian Prairies in response to global warming. The results showed that there would be an apparent increasing pattern over the Canadian Prairies. The projections of future temperature over three time slices can provide decision makers with valuable information for climate change impacts assessment over the Canadian Prairies. © 2017, Springer-Verlag GmbH Germany, part of Springer Nature. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109113
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: Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK S4S 0A2, Canada; School of Geosciences, University of Louisiana at Lafayette, Lafayette, LA 70503, United States
Recommended Citation:
Zhou X.,Huang G.,Wang X.,et al. A coupled dynamical-copula downscaling approach for temperature projections over the Canadian Prairies[J]. Climate Dynamics,2018-01-01,51(2018-07-08)