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Improving simulations of severe winter storms by initial modification of potential vorticity in sensitive regions

机译:通过对敏感区域的潜在涡度进行初始修改来改善严重冬季风暴的模拟

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In this paper simulations of three selected severe winter storms over the North Atlantic are presented. Modifications of potential vorticity (PV) fields according to features in water vapour (WV) images are combined with information from singular vectors (SVs) in an attempt to improve the initial state over data-sparse regions. The apparent mismatch between features in the WV images and the upper-level PV anomalies in the numerical analyses is corrected, mainly at levels indicated as sensitive by thefastest-growing SVs. The procedure is based on the fact that modification of the analysis in regions where SVs show a pronounced signal may have a large impact on the simulation. Model reruns, based on the inverted corrected PV fields, were then performed. Three cases are presented: the two French Christmas storms of 1999, and the storm affecting UK, the North Sea and southern Norway on 30 October 2000. In these cases a substantial improvement of the simulations of the storms was achieved. The PV modifications were carried out by a digital analysis system, implemented at the Norwegian Meteorological Institute. This system allows the PV modifications to be done interactively within an operational time limit.
机译:在本文中,对北大西洋上空的三场选定的冬季强风暴进行了模拟。根据水蒸气(WV)图像中的特征对潜在涡度(PV)场进行的修改与奇异矢量(SVs)的信息相结合,以尝试改善数据稀疏区域的初始状态。修正了WV图像中的特征与数值分析中的上层PV异常之间的明显失配,主要是在增长最快的SV所指示的水平上进行了校正。该程序基于以下事实:在SV显示明显信号的区域中对分析进行修改可能会对模拟产生很大影响。然后,基于反向校正后的PV字段进行模型重新运行。提出了三个案例:1999年的两次法国圣诞节风暴以及2000年10月30日影响英国,北海和挪威南部的风暴。在这些案例中,对风暴的模拟进行了重大改进。通过在挪威气象研究所实施的数字分析系统对PV进行修改。该系统允许在操作期限内以交互方式完成PV修改。

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