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Use of high-resolution NWP rainfall and river flow forecasts\ud for advance warning of the Carlisle flood, north-west\ud England

机译:使用高分辨率NWp降雨量和河流流量预测\ ud 提前警告卡莱尔洪水,西北\ ud 英国

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摘要

On the 8 January 2005 the city of Carlisle in northwest England was severely flooded following two days of almost continuous rain over the nearby hills. Orographic enhancement of the rain through the seeder-feeder mechanism led to the very high rainfall totals. This paper shows the impact of running the Met Office Unified Model (UM) with a grid spacing of 4 and 1 km compared to the 12 km available at the time of the event. These forecasts, and forecasts from the Nimrod nowcasting system, were fed into the Probability Distributed Model (PDM) to predict river flow at the outlets of two catchments important for flood warning. The results show the benefit of increased resolution in the UM, the benefit of coupling the high-resolution rainfall forecasts to the PDM and the improvement in timeliness of flood warning that might have been possible.
机译:2005年1月8日,英格兰西北部的卡莱尔市(Carlisle)在附近山区连续两天几乎连续下雨后遭到严重洪灾。通过播种机-喂料机对降雨进行地形增强,导致降雨总量很高。本文显示了运行Met Office统一模型(UM)的网格间距为4和1 km的影响,而活动发生时的可用距离为12 km。这些预测以及来自Nimrod临近预报系统的预测被输入到概率分布模型(PDM)中,以预测两个对洪水预警重要的流域出口处的河流流量。结果表明,在UM中提高分辨率的好处,将高分辨率降雨预报与PDM结合起来的好处以及洪水警报及时性的改善是有可能的。

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