Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD025878 |
Comparing Australian heat waves in the CMIP5 models through cluster analysis | |
Gibson, Peter B.1,2; Perkins-Kirkpatrick, Sarah E.1,2; Alexander, Lisa V.1,2; Fischer, Erich M.3 | |
2017-03-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:6 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; Switzerland |
英文摘要 | Quantitative projections of climate extremes on local to regional scales are highly valuable for planners and decision makers and necessary for effective local climate change adaptation. However, in contrast to the model robustness of simulated extremes at the global scale, the robustness in simulating past and future extremes often diminishes over finer spatial scales. In this study we analyze heat waves simulated by state-of-the-art global climate models over the Australian region. For the first time we present results explicitly detailing the model spread in simulated heat wave trends and climatology for this region for the recent past (1958-2005). As expected, large intermodel spread is observed at the local to regional scale for both heat wave trends and climatology. By analyzing multiple initial condition runs from individual models, we show that model internal variability strongly influences the spatial patterns of heat wave trends, while intermodel differences in heat wave climatology appear more influenced by model uncertainty. From a model evaluation perspective, cluster analysis is shown to be useful in characterizing robust spatial features of heat waves simulated by the models. In contrast to the multimodel mean, where uncorrelated spatial features tend to be averaged out, cluster composites preserve these features. Since previous examinations have tended to focus on the multimodel mean the extent of model spread may have been overlooked. Further examination of the processes that lead to model differences and biases is needed. |
英文关键词 | heat extremes heat waves model evaluation hierarchical cluster analysis model independence multimodel mean |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000399655200006 |
WOS关键词 | ACCESS COUPLED MODEL ; CLIMATE MODELS ; DATA SET ; TEMPERATURE ; TRENDS ; PROJECTIONS ; EXTREMES ; MECHANISMS ; EVOLUTION ; SYSTEMS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33118 |
专题 | 气候变化 |
作者单位 | 1.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia; 2.Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia; 3.Inst Atmospher & Climate Sci, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Gibson, Peter B.,Perkins-Kirkpatrick, Sarah E.,Alexander, Lisa V.,et al. Comparing Australian heat waves in the CMIP5 models through cluster analysis[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(6). |
APA | Gibson, Peter B.,Perkins-Kirkpatrick, Sarah E.,Alexander, Lisa V.,&Fischer, Erich M..(2017).Comparing Australian heat waves in the CMIP5 models through cluster analysis.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(6). |
MLA | Gibson, Peter B.,et al."Comparing Australian heat waves in the CMIP5 models through cluster analysis".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.6(2017). |
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