GSTDTAP  > 气候变化
DOI10.1007/s00382-018-4340-y
Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs
Zhai, Yuanyuan1; Huang, Gordon1; Wang, Xiuquan2; Zhou, Xiong1; Lu, Chen1; Li, Zoe3
2019-03-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号52页码:3455-3470
文章类型Article
语种英语
国家Canada
英文摘要

As the capital city of Canada, Ottawa has been experiencing significant impacts of global climate change. How to adapt to future climate change is one of the biggest concerns in the city's built and natural systems. It thusrequires a comprehensive understanding of possible changes in the local climate of Ottawa, which can hardly be reflected in the coarse outputs of Global Climate Models (GCMs). Therefore, a stepwise clustered downscaling (SCD) model is employed in this study to help investigate the plausible changes in daily maximum, minimum, and mean temperatures in Ottawa. Outputs from multiple GCMs under the Representative Concentration Pathways (RCPs) are used as inputs to drive the SCD model in order to develop downscaled climate projections. The performance of SCD model is evaluated by comparing the model simulations to the observations (R-2>0.87) over the historical periods. Future temperature projections and their likely temporal trends throughout this century are analyzed in detail to explorethe regional variations of global warming in Ottawa, thus to provide scientific basis for developing appropriate adaptation strategies at different management levels. The results suggest that the City of Ottawa is likely to expect significant increasing trends in temperatures (i.e.,0.18-0.38 degrees C per decade in maximum temperature, 0.16-0.31 degrees C per decade in minimum temperature, and 0.17-0.34 degrees C per decade in mean temperature under RCP4.5; 0.46-0.54 degrees C per decade in maximum temperature, 0.37-0.45 degrees C per decade in minimum temperature, and 0.42-0.50 degrees C per decade in mean temperature under RCP8.5) throughout this century.


英文关键词Stepwise clustered downscaling Temperature Ottawa Multiple GCMs Climate change Impact studies
领域气候变化
收录类别SCI-E
WOS记录号WOS:000463842700054
WOS关键词CLIMATE-CHANGE IMPACTS ; MULTIMODEL ENSEMBLE ; AIR-QUALITY ; ONTARIO ; PRECIPITATION ; UNCERTAINTY ; RAINFALL ; EVENTS ; MODELS ; SYSTEM
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/181463
专题气候变化
作者单位1.Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada;
2.Univ Prince Edward Isl, Sch Climate Change & Adaptat, Charlottetown, PE C1A 4P3, Canada;
3.McMaster Univ, Dept Civil Engn, Hamilton, ON L8S 4L8, Canada
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GB/T 7714
Zhai, Yuanyuan,Huang, Gordon,Wang, Xiuquan,et al. Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs[J]. CLIMATE DYNAMICS,2019,52:3455-3470.
APA Zhai, Yuanyuan,Huang, Gordon,Wang, Xiuquan,Zhou, Xiong,Lu, Chen,&Li, Zoe.(2019).Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs.CLIMATE DYNAMICS,52,3455-3470.
MLA Zhai, Yuanyuan,et al."Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs".CLIMATE DYNAMICS 52(2019):3455-3470.
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