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Circulation dynamics and its influence on European and Mediterranean January-April climate over the past half millennium: results and insights from instrumental data, documentary evidence and coupled climate models

机译:过去半个世纪的环流动力学及其对欧洲和地中海1月至4月气候的影响:来自仪器数据,文献证据和耦合气候模型的结果和见解

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We use long instrumental temperature series together with available field reconstructions of sea-level pressure (SLP) and three-dimensional climate model simulations to analyze relations between temperature anomalies and atmospheric circulation patterns over much of Europe and the Mediterranean for the late winter/early spring (January-April, JFMA) season. A Canonical Correlation Analysis (CCA) investigates interannual to interdecadal covariability between a new gridded SLP field reconstruction and seven long instrumental temperature series covering the past 250 years. We then present and discuss prominent atmospheric circulation patterns related to anomalous warm and cold JFMA conditions within different European areas spanning the period 1760-2007. Next, using a data assimilation technique, we link gridded SLP data with a climate model (EC-Bilt-Clio) for a better dynamical understanding of the relationship between large scale circulation and European climate. We thus present an alternative approach to reconstruct climate for the pre-instrumental period based on the assimilated model simulations. Furthermore, we present an independent method to extend the dynamic circulation analysis for anomalously cold European JFMA conditions back to the sixteenth century. To this end, we use documentary records that are spatially representative for the long instrumental records and derive, through modern analogs, large-scale SLP, surface temperature and precipitation fields. The skill of the analog method is tested in the virtual world of two three-dimensional climate simulations (ECHO-G and HadCM3). This endeavor offers new possibilities to both constrain climate model into a reconstruction mode (through the assimilation approach) and to better asses documentary data in a quantitative way.
机译:我们使用较长的仪器温度序列,结合可用的海平面压力(SLP)现场重构和三维气候模型模拟,来分析冬季和初春期间欧洲和地中海大部分地区的温度异常与大气环流模式之间的关系(JFMA一月至四月)季节。典范相关分析(CCA)研究了新的网格化SLP现场重建与过去250年中的七个长仪器温度序列之间的年际至年代际协方差。然后,我们介绍并讨论了1760-2007年间不同欧洲区域内与JFMA异常温暖和寒冷状况相关的突出大气循环模式。接下来,使用数据同化技术,将网格化SLP数据与气候模型(EC-Bilt-Clio)链接起来,以更好地动态了解大规模循环与欧洲气候之间的关系。因此,我们基于同化模型模拟,提出了一种替代方法来重建仪器前时期的气候。此外,我们提出了一种独立的方法来将对异常寒冷的欧洲JFMA条件的动态循环分析扩展到16世纪。为此,我们使用在空间上可以代表长期仪器记录的文献记录,并通过现代类似物得出大规模的SLP,地表温度和降水场。在两个三维气候模拟(ECHO-G和HadCM3)的虚拟世界中测试了模拟方法的技能。这项工作提供了新的可能性,既可以将气候模型约束为重建模式(通过同化方法),又可以以定量方式更好地评估文献数据。

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