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Winter storms with high loss potential in a changing climate: a regional perspective

机译:在气候变化中具有高损失潜力的冬季风暴:区域视角

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In the RESTER (Strategien zur Reduzierung des Sturmschadenrisikos fur Walder) project the impacts of extreme storm events on the forests in Germany are analysed. The regional storm climate is quantified by means of wind gusts from regional climate models (REMO and CLM). Extreme value statistics are applied to estimate the gust wind speeds of a specific return period at every grid point. There is a systematic underestimation of the gust wind speeds in comparison to the observations (1971 –2000), but the spatial patterns due to the orographic influences are well reproduced by the regional models. They are able to resolve partially the orographic amplifications on wind speeds, what is the big advantage over the coarse resolution of the global models. In the future (2021 – 2050) changes of the storm climate in Southern and Central Germany are not well-defined, while in Northern Germany an increase of the storm activity seems to be likely. Apart from the analysis of single model runs an ensemble composite of different models and scenarios is created to quantify the probability of the changes.
机译:在RESTER(Strategien zur Reduzierung des Sturmschadenrisikos fur Walder)项目中,分析了极端风暴事件对德国森林的影响。区域风暴气候通过来自区域气候模型(REMO和CLM)的阵风来量化。应用极值统计信息来估计每个网格点特定返回期的阵风速度。与观测值(1971-2000年)相比,阵风风速有系统的低估,但是受地形影响的空间格局已被区域模型很好地再现。他们能够部分解决风速上的地形放大问题,这与全局模型的粗略分辨率相比,具有很大的优势。在未来(2021年至2050年),德国南部和中部的风暴气候变化尚不明确,而德国北部的风暴活动似乎有可能增加。除了对单个模型运行进行分析之外,还创建了不同模型和场景的整体组合,以量化更改的可能性。

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