气候变化下欧洲冬季风灾损失的预测和不确定性

Luca G. Severino, Chahan M. Kropf, Hilla Afargan‐Gerstman, C. Fairless, Andrie De Vries, Daniella I. V. Domeisen, D. Bresch
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摘要

摘要冬季风灾是欧洲最严重的自然灾害之一,会造成人员死亡和重大损失。然而,气候变化对欧洲风灾影响的预测具有很大的不确定性。本研究将参加耦合模式相互比较项目(CMIP6)第 6 阶段的 30 个大气环流模式的气候预测与气候风险评估模式 CLIMADA 结合起来,以获得在气候变化下欧洲上空风灾造成的损失预测。我们进行了不确定性-敏感性分析,发现预测的损失变化存在很大的不确定性,而气候模式的不确定性是预测不确定性的主要因素。我们研究了气候变化引起的风灾损失变化的空间模式,发现欧洲西北部和中北部的损失增加,欧洲其他地区的损失减少,这与北大西洋风暴路径向东延伸到欧洲的趋势一致。我们将所有 30 个可用的气候模型以机会集合的方式结合起来,发现了未来气候风暴灾害加剧的证据,在当前气候条件下,100 年重现期的灾害在未来 SSP585 气候情景下变成了 28 年重现期的灾害。我们的研究结果表明了气候模型的不确定性对 CMIP6 预测欧洲风灾的重要性,并强调了对未来极端天气风险缓解的日益增长的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Projections and uncertainties of winter windstorm damage in Europe in a changing climate
Abstract. Winter windstorms are among the most significant natural hazards in Europe linked to fatalities and substantial damage. However, projections of windstorm impact in Europe under climate change are highly uncertain. This study combines climate projections from 30 general circulation models participating in Phase 6 of the Coupled Model Intercomparison Project (CMIP6) with the climate risk assessment model CLIMADA to obtain projections of windstorm-induced damage over Europe in a changing climate. We conduct an uncertainty–sensitivity analysis and find large uncertainties in the projected changes in the damage, with climate model uncertainty being the dominant factor of uncertainty in the projections. We investigate the spatial patterns of the climate change-induced modifications in windstorm damage and find an increase in the damage in northwestern and northern central Europe and a decrease over the rest of Europe, in agreement with an eastward extension of the North Atlantic storm track into Europe. We combine all 30 available climate models in an ensemble-of-opportunity approach and find evidence for an intensification of future climate windstorm damage, in which damage with return periods of 100 years under current climate conditions becomes damage with return periods of 28 years under future SSP585 climate scenarios. Our findings demonstrate the importance of climate model uncertainty for the CMIP6 projections of windstorms in Europe and emphasize the increasing need for risk mitigation due to extreme weather in the future.
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