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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ftsupagro:oai:HAL:hal-02921210v1 2023-07-30T04:04:49+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 UR2_1 (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) Direction Inter-Régionale des Antilles-Guyane (DIRAG) Météo-France 2020-08-26 https://hal.science/hal-02921210 https://hal.science/hal-02921210/document https://hal.science/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.science/hal-02921210 https://hal.science/hal-02921210/document https://hal.science/hal-02921210/file/nhess-2020-241.pdf doi:10.5194/nhess-2020-241 info:eu-repo/semantics/OpenAccess https://hal.science/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 ftsupagro https://doi.org/10.5194/nhess-2020-241 2023-07-08T08:18:32Z 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 Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftsupagro |
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 UR2_1 (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) 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.science/hal-02921210 https://hal.science/hal-02921210/document https://hal.science/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.science/hal-02921210 2020 |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/nhess-2020-241 hal-02921210 https://hal.science/hal-02921210 https://hal.science/hal-02921210/document https://hal.science/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 |
_version_ |
1772816415944867840 |