通过集合模型评估美第奇亚诺斯的海岸危害

IF 4.2 2区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Natural Hazards and Earth System Sciences Pub Date : 2023-06-22 DOI:10.5194/nhess-23-2273-2023
C. Ferrarin, Florian Pantillon, S. Davolio, M. Bajo, M. Miglietta, E. Avolio, D. Carrió, I. Pytharoulis, C. Sánchez, Platon Patlakas, J. J. González-Alemán, E. Flaounas
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引用次数: 4

摘要

摘要2020年9月18日,医疗补助Ianos袭击了希腊西海岸,导致多个沿海地区发生洪水和严重破坏。在这项工作中,我们旨在通过使用一组数字模拟来评估其对海况的影响和相关的不确定性。我们将波流耦合模型应用于代表整个地中海的非结构网格,在爱奥尼亚海,网格分辨率沿气旋路径和登陆区增加。为了研究这种强烈事件的海平面和波浪建模的不确定性,我们使用几个粗略的(10 km)和高分辨率(2 km)气象强迫。根据固定监测站和卫星的观测结果,对海洋和波浪模型的性能进行了评估。所有模型运行都强调了气旋路径和海岸出现的恶劣海况。由于海岸线崎岖复杂,极端海平面局限于特定的海岸点。然而,数值结果显示,海平面和波浪的模拟海况分布很大,凸显了模拟这类极端事件的巨大不确定性。多模型和多物理方法使我们能够评估不确定性如何从气象变量传播到海洋变量以及随后的海岸影响。综合平均值和标准差被结合起来,以证明这种极端事件的潜在影响的危险情景,从而用于洪水风险管理计划。
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Assessing the coastal hazard of Medicane Ianos through ensemble modelling
Abstract. On 18 September 2020, Medicane Ianos hit the western coast of Greece, resulting in flooding and severe damage at several coastal locations. In this work, we aim at evaluating its impact on sea conditions and the associated uncertainty through the use of an ensemble of numerical simulations. We applied a coupled wave–current model to an unstructured mesh, representing the whole Mediterranean Sea, with a grid resolution increasing in the Ionian Sea along the cyclone path and the landfall area. To investigate the uncertainty in modelling sea levels and waves for such an intense event, we performed an ensemble of ocean simulations using several coarse (10 km) and high-resolution (2 km) meteorological forcings from different mesoscale models. The performance of the ocean and wave models was evaluated against observations retrieved from fixed monitoring stations and satellites. All model runs emphasized the occurrence of severe sea conditions along the cyclone path and at the coast. Due to the rugged and complex coastline, extreme sea levels are localized at specific coastal sites. However, numerical results show a large spread of the simulated sea conditions for both the sea level and waves, highlighting the large uncertainty in simulating this kind of extreme event. The multi-model and multi-physics approach allows us to assess how the uncertainty propagates from meteorological to ocean variables and the subsequent coastal impact. The ensemble mean and standard deviation were combined to prove the hazard scenarios of the potential impact of such an extreme event to be used in a flood risk management plan.
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来源期刊
Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences 地学-地球科学综合
CiteScore
7.60
自引率
6.50%
发文量
192
审稿时长
3.8 months
期刊介绍: Natural Hazards and Earth System Sciences (NHESS) is an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences. Embracing a holistic Earth system science approach, NHESS serves a wide and diverse community of research scientists, practitioners, and decision makers concerned with detection of natural hazards, monitoring and modelling, vulnerability and risk assessment, and the design and implementation of mitigation and adaptation strategies, including economical, societal, and educational aspects.
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