A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles

Under review for publication in Natural Hazards and Earth System Sciences (NHESS) In view of the high vulnerability of the Lesser Antilles small islands to cyclonic hazards, realistic very fine scale numerical simulation of hurricane-induced winds is essential to prevent and manage risks. The presen...

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Main Authors: Cécé, Raphaël, Bernard, Didier, Krien, Yann, Leone, Frédéric, Candela, Thomas, Péroche, Matthieu, Biabiany, Emmanuel, Arnaud, Gaël, Belmadani, Ali, Palany, Philippe, Zahibo, Narcisse
Other Authors: Laboratoire de Recherche en Géosciences et Energies (LARGE), Université des Antilles (UA), Gouvernance, Risque, Environnement, Développement (GRED), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Direction Inter-Régionale des Antilles-Guyane (DIRAG), Météo France
Format: Report
Language:English
Published: HAL CCSD 2020
Subjects:
Online Access:https://hal.archives-ouvertes.fr/hal-02921210
https://hal.archives-ouvertes.fr/hal-02921210/document
https://hal.archives-ouvertes.fr/hal-02921210/file/nhess-2020-241.pdf
https://doi.org/10.5194/nhess-2020-241
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spelling ftccsdartic:oai:HAL:hal-02921210v1 2023-05-15T17:10:29+02:00 A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles Cécé, Raphaël Bernard, Didier Krien, Yann Leone, Frédéric Candela, Thomas Péroche, Matthieu Biabiany, Emmanuel Arnaud, Gaël Belmadani, Ali Palany, Philippe Zahibo, Narcisse Laboratoire de Recherche en Géosciences et Energies (LARGE) Université des Antilles (UA) Gouvernance, Risque, Environnement, Développement (GRED) Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro) Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) Direction Inter-Régionale des Antilles-Guyane (DIRAG) Météo France 2020-08-26 https://hal.archives-ouvertes.fr/hal-02921210 https://hal.archives-ouvertes.fr/hal-02921210/document https://hal.archives-ouvertes.fr/hal-02921210/file/nhess-2020-241.pdf https://doi.org/10.5194/nhess-2020-241 en eng HAL CCSD info:eu-repo/semantics/altIdentifier/doi/10.5194/nhess-2020-241 hal-02921210 https://hal.archives-ouvertes.fr/hal-02921210 https://hal.archives-ouvertes.fr/hal-02921210/document https://hal.archives-ouvertes.fr/hal-02921210/file/nhess-2020-241.pdf doi:10.5194/nhess-2020-241 info:eu-repo/semantics/OpenAccess https://hal.archives-ouvertes.fr/hal-02921210 2020 [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/preprint Preprints, Working Papers, . 2020 ftccsdartic https://doi.org/10.5194/nhess-2020-241 2021-11-28T00:10:13Z Under review for publication in Natural Hazards and Earth System Sciences (NHESS) In view of the high vulnerability of the Lesser Antilles small islands to cyclonic hazards, realistic very fine scale numerical simulation of hurricane-induced winds is essential to prevent and manage risks. The present innovative modeling aims at combining the most realistic simulated strongest gusts driven by tornado-scale vortices within the eyewall and the most 15 realistic complex terrain effects. The Weather Research and Forecasting (WRF) model with the Nonlinear Backscatter and Anisotropy (NBA) Large Eddy Simulation (LES) configuration was used to reconstruct the devastating landfall of category 5 Hurricane Irma (2017) on Saint Barthélemy and Saint Martin islands. The results pointed out that the 30-m scale seems necessary to simulate intense 400-m scale vortices leading to extreme peak gusts like 132 m s-1 over sea. Risk areas associated with terrain gust speed-up factors greater than one have been identified for the two islands. The comparison between the 20 simulated gusts and the remote sensing building damages highlighted the major role of structure strength linked with the socioeconomic development of the territory. The present modeling method could be easily extended to other small mountainous islands to improve the understanding of observed past damages and to develop safer urban management and appropriate building standards. Report Martin Islands Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
institution Open Polar
collection Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe)
op_collection_id ftccsdartic
language English
topic [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
spellingShingle [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
Cécé, Raphaël
Bernard, Didier
Krien, Yann
Leone, Frédéric
Candela, Thomas
Péroche, Matthieu
Biabiany, Emmanuel
Arnaud, Gaël
Belmadani, Ali
Palany, Philippe
Zahibo, Narcisse
A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
topic_facet [PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology
description Under review for publication in Natural Hazards and Earth System Sciences (NHESS) In view of the high vulnerability of the Lesser Antilles small islands to cyclonic hazards, realistic very fine scale numerical simulation of hurricane-induced winds is essential to prevent and manage risks. The present innovative modeling aims at combining the most realistic simulated strongest gusts driven by tornado-scale vortices within the eyewall and the most 15 realistic complex terrain effects. The Weather Research and Forecasting (WRF) model with the Nonlinear Backscatter and Anisotropy (NBA) Large Eddy Simulation (LES) configuration was used to reconstruct the devastating landfall of category 5 Hurricane Irma (2017) on Saint Barthélemy and Saint Martin islands. The results pointed out that the 30-m scale seems necessary to simulate intense 400-m scale vortices leading to extreme peak gusts like 132 m s-1 over sea. Risk areas associated with terrain gust speed-up factors greater than one have been identified for the two islands. The comparison between the 20 simulated gusts and the remote sensing building damages highlighted the major role of structure strength linked with the socioeconomic development of the territory. The present modeling method could be easily extended to other small mountainous islands to improve the understanding of observed past damages and to develop safer urban management and appropriate building standards.
author2 Laboratoire de Recherche en Géosciences et Energies (LARGE)
Université des Antilles (UA)
Gouvernance, Risque, Environnement, Développement (GRED)
Université Paul-Valéry - Montpellier 3 (UPVM)-Institut de Recherche pour le Développement (IRD France-Sud )-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Direction Inter-Régionale des Antilles-Guyane (DIRAG)
Météo France
format Report
author Cécé, Raphaël
Bernard, Didier
Krien, Yann
Leone, Frédéric
Candela, Thomas
Péroche, Matthieu
Biabiany, Emmanuel
Arnaud, Gaël
Belmadani, Ali
Palany, Philippe
Zahibo, Narcisse
author_facet Cécé, Raphaël
Bernard, Didier
Krien, Yann
Leone, Frédéric
Candela, Thomas
Péroche, Matthieu
Biabiany, Emmanuel
Arnaud, Gaël
Belmadani, Ali
Palany, Philippe
Zahibo, Narcisse
author_sort Cécé, Raphaël
title A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
title_short A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
title_full A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
title_fullStr A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
title_full_unstemmed A 30-m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
title_sort 30-m scale modeling of extreme gusts during hurricane irma (2017) landfall on very small mountainous islands in the lesser antilles
publisher HAL CCSD
publishDate 2020
url https://hal.archives-ouvertes.fr/hal-02921210
https://hal.archives-ouvertes.fr/hal-02921210/document
https://hal.archives-ouvertes.fr/hal-02921210/file/nhess-2020-241.pdf
https://doi.org/10.5194/nhess-2020-241
genre Martin Islands
genre_facet Martin Islands
op_source https://hal.archives-ouvertes.fr/hal-02921210
2020
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/nhess-2020-241
hal-02921210
https://hal.archives-ouvertes.fr/hal-02921210
https://hal.archives-ouvertes.fr/hal-02921210/document
https://hal.archives-ouvertes.fr/hal-02921210/file/nhess-2020-241.pdf
doi:10.5194/nhess-2020-241
op_rights info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.5194/nhess-2020-241
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