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
{"title":"通过集合模型评估美第奇亚诺斯的海岸危害","authors":"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","doi":"10.5194/nhess-23-2273-2023","DOIUrl":null,"url":null,"abstract":"Abstract. On 18 September 2020, Medicane Ianos hit the western coast of Greece,\nresulting in flooding and severe damage at several coastal locations.\nIn this work, we aim at evaluating its impact on sea conditions and the\nassociated uncertainty through the use of an ensemble of numerical\nsimulations. We applied a coupled wave–current model to an unstructured\nmesh, representing the whole Mediterranean Sea, with a grid resolution\nincreasing in the Ionian Sea along the cyclone path and the landfall\narea. To investigate the uncertainty in modelling sea levels and waves\nfor such an intense event, we performed an ensemble of ocean\nsimulations using several coarse (10 km) and high-resolution (2 km)\nmeteorological 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\nextreme event to be used in a flood risk management plan.\n","PeriodicalId":18922,"journal":{"name":"Natural Hazards and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Assessing the coastal hazard of Medicane Ianos through ensemble modelling\",\"authors\":\"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\",\"doi\":\"10.5194/nhess-23-2273-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. On 18 September 2020, Medicane Ianos hit the western coast of Greece,\\nresulting in flooding and severe damage at several coastal locations.\\nIn this work, we aim at evaluating its impact on sea conditions and the\\nassociated uncertainty through the use of an ensemble of numerical\\nsimulations. We applied a coupled wave–current model to an unstructured\\nmesh, representing the whole Mediterranean Sea, with a grid resolution\\nincreasing in the Ionian Sea along the cyclone path and the landfall\\narea. To investigate the uncertainty in modelling sea levels and waves\\nfor such an intense event, we performed an ensemble of ocean\\nsimulations using several coarse (10 km) and high-resolution (2 km)\\nmeteorological 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\\nextreme event to be used in a flood risk management plan.\\n\",\"PeriodicalId\":18922,\"journal\":{\"name\":\"Natural Hazards and Earth System Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2023-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards and Earth System Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/nhess-23-2273-2023\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards and Earth System Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/nhess-23-2273-2023","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.