On the use of composite analyses to form physical hypotheses: An example from heat wave - SST associations

被引:60
作者
Boschat, Ghyslaine [1 ,2 ]
Simmonds, Ian [1 ]
Purich, Ariaan [3 ]
Cowan, Tim [4 ]
Pezza, Alexandre Bernardes [5 ,6 ]
机构
[1] Univ Melbourne, Sch Earth Sci, Melbourne, Vic, Australia
[2] Australian Res Councils, Ctr Excellence Climate Syst Sci, Wagga Wagga, NSW, Australia
[3] CSIRO Oceans & Atmosphere, Aspendale, Vic, Australia
[4] Univ Edinburgh, Sch Geosci, Edinburgh, Midlothian, Scotland
[5] Greater Wellington Reg Council, Wellington, New Zealand
[6] Victoria Univ Wellington, Wellington, New Zealand
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
澳大利亚研究理事会;
关键词
DIPOLE EVENTS; HOT DAYS; AUSTRALIA; CLIMATE; TEMPERATURES; CIRCULATION; PRECIPITATION; VARIABILITY; MECHANISMS; HEATWAVES;
D O I
10.1038/srep29599
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper highlights some caveats in using composite analyses to form physical hypotheses on the associations between environmental variables. This is illustrated using a specific example, namely the apparent links between heat waves (HWs) and sea surface temperatures (SSTs). In this case study, a composite analysis is performed to show the large-scale and regional SST conditions observed during summer HWs in Perth, southwest Australia. Composite results initially point to the importance of the subtropical South Indian Ocean, where physically coherent SST dipole anomalies appear to form a necessary condition for HWs to develop across southwest Australia. However, sensitivity tests based on pattern correlation analyses indicate that the vast majority of days when the identified SST pattern appears are overwhelmingly not associated with observed HWs, which suggests that this is definitely not a sufficient condition for HW development. Very similar findings are obtained from the analyses of 15 coupled climate model simulations. The results presented here have pertinent implications and applications for other climate case studies, and highlight the importance of applying comprehensive statistical approaches before making physical inferences on apparent climate associations.
引用
收藏
页数:9
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