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

机译:关于使用综合分析形成物理假设的例子:热浪的一个例子– SST关联

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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.
机译:本文重点介绍了在使用综合分析形成关于环境变量之间的关联的物理假设时的一些注意事项。这通过一个具体示例进行说明,即热波(HW)与海面温度(SST)之间的表观联系。在此案例研究中,进行了综合分析,以显示在澳大利亚西南部珀斯的夏季HW期间观察到的大规模和区域性SST条件。综合结果最初指出了亚热带南印度洋的重要性,那里物理上相干的海表温度偶极子异常似乎为HW在澳大利亚西南部发展提供了必要条件。但是,基于模式相关性分析的敏感性测试表明,绝大多数情况下,识别出的SST模式出现与观察到的硬件都没有关联,这表明这绝对不是硬件开发的充分条件。从15个耦合气候模型模拟的分析中获得了非常相似的发现。本文介绍的结果对其他气候案例研究具有相关的意义和应用,并强调了在对明显的气候关联进行物理推断之前应用综合统计方法的重要性。

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