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Large-scale atmospheric patterns associated with mesoscale features leading to extreme precipitation events in Northwestern Italy

机译:与中尺度特征相关的大规模大气模式导致意大利西北部发生极端降水事件

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摘要

The synoptic and large-scale atmospheric conditions for heavy rainfall events in Northwestern Italy are diagnosed through the joint analysis of surface precipitation gauges and reanalysis atmospheric fields. Quantiles of local surface gauge precipitation observations are used to estimate the much larger-scale composite maps (conditional mean fields) of vertically integrated moisture flux, low-level winds, sea-level pressure, and 500 hPa height across the Atlantic and European domains. Remarkably, coarse-resolution reanalysis data show distinct synoptic conditions for heavy precipitation in localized regions that are below the resolution of the reanalysis. In this paper the key attributes of the new approach that is based on the joint analysis of gridded reanalysis and station data are presented. The application of the methodology are used to establish supporting evidence for hydrometeorological processes that lead to extreme precipitation across Northwest Italy. The results confirm the role of large-scale flow features that interact with regional topography in producing localized extreme precipitation. Whereas previous studies were based on a few case studies (modeled or observational), in this study the approach to producing a large ensemble of cases and composite statistics are introduced.
机译:通过对地表降水量表和重新分析大气场的联合分析,诊断了意大利西北部暴雨事件的天气概要和大规模大气条件。局部表层降水观测值的分位数用于估计横跨大西洋和欧洲区域的垂直积分水汽通量,低空风,海平面压力以及500 hPa高度的大得多的复合图(条件平均场)。值得注意的是,粗分辨率的再分析数据显示,局部地区暴雨的天气条件明显低于重新分析的分辨率。本文介绍了基于网格重分析和站点数据联合分析的新方法的关键属性。该方法的应用被用来为导致整个意大利西北部极端降水的水文气象过程建立支持证据。结果证实了与区域地形相互作用的大规模流动特征在产生局部极端降水中的作用。以前的研究是基于一些案例研究(建模的或观察性的),而在本研究中,介绍了产生大量案例和综合统计数据的方法。

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