Articles | Volume 21, issue 1
https://doi.org/10.5194/nhess-21-129-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-129-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A 30 m scale modeling of extreme gusts during Hurricane Irma (2017) landfall on very small mountainous islands in the Lesser Antilles
Raphaël Cécé
CORRESPONDING AUTHOR
LARGE, University of the French West Indies, 97157 Pointe-à-Pitre, Guadeloupe, France
Didier Bernard
LARGE, University of the French West Indies, 97157 Pointe-à-Pitre, Guadeloupe, France
Yann Krien
LIENSs UMR 7266 CNRS, University of La Rochelle, 17000 La Rochelle,
France
Frédéric Leone
UMR GRED, University Paul-Valéry-Montpellier, CEDEX 5, 3-34199
Montpellier, France
Thomas Candela
UMR GRED, University Paul-Valéry-Montpellier, CEDEX 5, 3-34199
Montpellier, France
Matthieu Péroche
UMR GRED, University Paul-Valéry-Montpellier, CEDEX 5, 3-34199
Montpellier, France
Emmanuel Biabiany
LARGE, University of the French West Indies, 97157 Pointe-à-Pitre, Guadeloupe, France
Gael Arnaud
MetOcean Solutions, 3225 Raglan, New Zealand
Ali Belmadani
DIRAG, Météo-France, Fort-de-France CEDEX 97262, Martinique, France
Philippe Palany
DIRAG, Météo-France, Fort-de-France CEDEX 97262, Martinique, France
Narcisse Zahibo
LARGE, University of the French West Indies, 97157 Pointe-à-Pitre, Guadeloupe, France
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Cited
8 citations as recorded by crossref.
- Higher-resolution projections needed for small island climates J. Evans et al. 10.1038/s41558-024-02028-9
- Estimating the Risk of Extreme Wind Gusts in Tropical Cyclones Using Idealized Large-Eddy Simulations and a Statistical–Dynamical Model D. Stern et al. 10.1175/MWR-D-21-0059.1
- Les apprentissages d’un RETEX scientifique et collectif sur l’ouragan Irma (saison cyclonique 2017, Petites-Antilles du Nord, projet ANR TIREX) F. Leone et al. 10.4000/echogeo.25043
- High-Wind Drag Coefficient Based on the Tropical Cyclone Simulated With the WRF-LES Framework W. Jiang et al. 10.3389/feart.2021.694314
- Responses and adjustments of the coastal systems of Dominica (Lesser Antilles) when faced with an extreme event: Hurricane Maria (September 2017) S. Battut et al. 10.1007/s11069-022-05668-2
- Storm‐Scale and Fine‐Scale Boundary Layer Structures of Tropical Cyclones Simulated With the WRF‐LES Framework Q. Liu et al. 10.1029/2021JD035511
- Visualising post-disaster damage on maps: a user study T. Candela et al. 10.1080/13658816.2022.2063872
- Capacités de relèvement d’un territoire insulaire français face à un ouragan extrême : Retour d’expérience sur l’ouragan Irma à Saint-Barthélemy (Petites-Antilles) S. Defossez et al. 10.4000/com.13368
7 citations as recorded by crossref.
- Higher-resolution projections needed for small island climates J. Evans et al. 10.1038/s41558-024-02028-9
- Estimating the Risk of Extreme Wind Gusts in Tropical Cyclones Using Idealized Large-Eddy Simulations and a Statistical–Dynamical Model D. Stern et al. 10.1175/MWR-D-21-0059.1
- Les apprentissages d’un RETEX scientifique et collectif sur l’ouragan Irma (saison cyclonique 2017, Petites-Antilles du Nord, projet ANR TIREX) F. Leone et al. 10.4000/echogeo.25043
- High-Wind Drag Coefficient Based on the Tropical Cyclone Simulated With the WRF-LES Framework W. Jiang et al. 10.3389/feart.2021.694314
- Responses and adjustments of the coastal systems of Dominica (Lesser Antilles) when faced with an extreme event: Hurricane Maria (September 2017) S. Battut et al. 10.1007/s11069-022-05668-2
- Storm‐Scale and Fine‐Scale Boundary Layer Structures of Tropical Cyclones Simulated With the WRF‐LES Framework Q. Liu et al. 10.1029/2021JD035511
- Visualising post-disaster damage on maps: a user study T. Candela et al. 10.1080/13658816.2022.2063872
Latest update: 04 Nov 2024
Short summary
The present innovative modeling aims to combine the most realistic simulated strongest gusts driven by tornado-scale vortices within the eyewall and the most realistic complex terrain effects. The present modeling method could be easily extended to other small mountainous islands to improve the understanding of observed past damage and to develop safer urban management and appropriate building standards.
The present innovative modeling aims to combine the most realistic simulated strongest gusts...
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