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European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models

机译:动态缩小比例的全球气候模型的多模型集合对欧洲热带地区的风暴造成的破坏风险

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Uncertainty in the return levels of insured loss from European wind storms was quantified using storms derived from twenty-two 25 km regional climate model runs driven by either the ERA40 reanalyses or one of four coupled atmosphere-ocean global climate models. Storms were identified using a model-dependent storm severity index based on daily maximum 10m wind speed. The wind speed from each model was calibrated to a set of 7 km historical storm wind fields using the 70 storms with the highest severity index in the period 1961-2000, employing a two stage calibration methodology. First, the 25 km daily maximum wind speed was downscaled to the 7 km historical model grid using the 7 km surface roughness length and orography, also adopting an empirical gust parameterisation. Secondly, downscaled wind gusts were statistically scaled to the historical storms to match the geographically-dependent cumulative distribution function of wind gust speed.
机译:欧洲风暴造成的保险损失收益水平的不确定性是通过使用ERA40再分析或四个耦合的海洋-海洋全球气候模型之一驱动的二十二个25 km区域气候模型运行得出的风暴来量化的。使用基于模型的风暴严重性指数来识别暴风,该指数基于每日最大10m风速。使用两阶段校准方法,使用1961-2000年期间严重程度指数最高的70个风暴,将每个模型的风速校准为一组7 km的历史风暴风场。首先,使用7 km的表面粗糙度长度和地形,将每天25 km的最大风速降级到7 km的历史模型网格,同时采用经验性阵风参数化。其次,将降尺度的阵风在统计上缩放到历史风暴,以匹配阵风速度的地理相关累积分布函数。

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