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Optimization of Empirical Storm Surge Forecast -Modelling of High Resolution Wind Fields

机译:高分辨率风田经验风暴浪涌预测的优化

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Aim of this study is to improve the empirical storm surge forecast for the coast of Lower Saxony using modelled high resolution wind fields over the North Sea. The hindcast of historic storms is done by Deutscher Wetterdienst (German Weather Service, DWD) using their operational model chain (GME, COSMO-EU, COSMO-DE). COSMO was run in forecast and in nudging mode. The NLWKN-Coastal Research Station used the modelled wind fields to optimize the empirical storm surge forecast with a variety of empirical and neural network approaches.
机译:本研究的目的是改善利用北海建模的高分辨率风田对下萨克森州海岸的经验风暴浪涌预测。历史风暴的Hindcast由Deutscher Wetterdienst(德国天气服务,DWD)使用他们的操作模型链(GME,Cosmo-eu,Cosmo-de)完成。 COSMO在预测和露天模式下运行。 NLWKN沿海研究站使用了模型的风田,以优化各种实证和神经网络方法的经验风暴浪涌预报。

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