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The role of the sea on the flash floods events over Liguria (northwestern Italy)

机译:海洋在利古里亚(意大利西北部)上的山洪暴发中的作用

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摘要

The sensitivity to sea surface temperature (SST) of small-scale, flood-causing convective systems in Mediterranean coastal areas is analyzed by means of mesoscale numerical simulations. Two different SST initializations are considered: a coarse field provided by a global atmospheric model and a high-resolution multisatellite analysis. Quantitative precipitation forecasts are evaluated for a number of recent severe rainfall episodes in Liguria (northwestern Italy). In several cases, using a higher-resolution SST leads to more realistic precipitation estimates in the forecasting range 36-48 h. In the shorter range, the satellite SST has a limited, or even negative, impact, due to the relatively slow adjustment of initial atmospheric fields. In one case, the satellite SST is beneficial for the only run forced with accurate large-scale initial conditions. The results of this work suggest that a potentially significant improvement in severe precipitation forecasting in the Mediterranean could be achieved using realistic small-scale SST fields.
机译:通过中尺度数值模拟分析了地中海沿岸小型,引起洪水的对流系统对海表温度(SST)的敏感性。考虑了两种不同的SST初始化:由全局大气模型提供的粗略场和高分辨率多卫星分析。对利古里亚(意大利西北部)近期发生的严重降雨事件进行了定量降雨预报。在某些情况下,使用高分辨率的SST可以在36-48小时的预报范围内实现更实际的降水估计。在较短的范围内,由于初始大气场的调整相对较慢,卫星SST的影响有限,甚至是负面的。在一种情况下,卫星SST有利于在准确的大规模初始条件下进行唯一的强制运行。这项工作的结果表明,使用现实的小规模SST油田可以实现对地中海强降水预报的潜在显着改善。

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