Probabilistic hurricane-induced storm surge hazard assessment in Guadeloupe, Lesser Antilles

Krien, Yann; Dudon, Bernard; Roger, Jean; Zahibo, Narcisse

doi:10.5194/nhess-15-1711-2015

Cited by 30 publications

(38 citation statements)

References 29 publications

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“…This is confirmed, for instance, for the Guadeloupe archipelago, where very similar results in terms of 100-year surge levels (Krien et al, 2015), maximum water levels, or wave setup contribution are found.…”

Section: Discussionsupporting

confidence: 77%

“…It was also found to give good results for several islands in the Lesser Antilles, such as Guadeloupe and Martinique (Krien et al, 2015;Nicolae Lerma et al, 2014).…”

Section: Model Performancementioning

confidence: 92%

“…They have been used successfully for storm surge assessment at local (Lin et al, 2010(Lin et al, , 2012, regional (Harper et al, 2009;Niedoroda et al, 2010) or even continental (Haigh et al, 2014) scales. In the present paper, we use the statistical-deterministic approach of Emanuel et al (2006), which provided good results for Guadeloupe in a previous study (Krien et al, 2015). This method consists of four main steps (Emanuel et al, 2006):…”

Section: Methodsmentioning

confidence: 99%

“…The Manning coefficient here depends on land cover (European Union, 2006). The values can be found in Krien et al (2015) and are displayed in Fig. 4a.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The model is forced by wind and pressure fields, calculated using the gradient wind profiles of Rotunno (2011) andHolland (1980) respectively (see Krien et al, 2015, for more details).…”

Section: Model Descriptionmentioning

confidence: 99%

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Assessing storm surge hazard and impact of sea level rise in the Lesser Antilles case study of Martinique

Krien¹,

Dudon²,

Roger³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. In the Lesser Antilles, coastal inundations from hurricane-induced storm surges pose a great threat to lives, properties and ecosystems. Assessing current and future storm surge hazards with sufficient spatial resolution is of primary interest to help coastal planners and decision makers develop mitigation and adaptation measures. Here, we use wave-current numerical models and statistical methods to investigate worst case scenarios and 100-year surge levels for the case study of Martinique under present climate or considering a potential sea level rise. Results confirm that the wave setup plays a major role in the Lesser Antilles, where the narrow island shelf impedes the piling-up of large amounts of wind-driven water on the shoreline during extreme events. The radiation stress gradients thus contribute significantly to the total surge -up to 100 % in some cases. The nonlinear interactions of sea level rise (SLR) with bathymetry and topography are generally found to be relatively small in Martinique but can reach several tens of centimeters in low-lying areas where the inundation extent is strongly enhanced compared to present conditions. These findings further emphasize the importance of waves for developing operational storm surge warning systems in the Lesser Antilles and encourage caution when using static methods to assess the impact of sea level rise on storm surge hazard.

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Section: Discussionsupporting

confidence: 77%

“…It was also found to give good results for several islands in the Lesser Antilles, such as Guadeloupe and Martinique (Krien et al, 2015;Nicolae Lerma et al, 2014).…”

Section: Model Performancementioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

“…The Manning coefficient here depends on land cover (European Union, 2006). The values can be found in Krien et al (2015) and are displayed in Fig. 4a.…”

Section: Model Descriptionmentioning

confidence: 99%

“…The model is forced by wind and pressure fields, calculated using the gradient wind profiles of Rotunno (2011) andHolland (1980) respectively (see Krien et al, 2015, for more details).…”

Section: Model Descriptionmentioning

confidence: 99%

See 3 more Smart Citations

Assessing storm surge hazard and impact of sea level rise in the Lesser Antilles case study of Martinique

Krien¹,

Dudon²,

Roger³

et al. 2017

Nat. Hazards Earth Syst. Sci.

Self Cite

View full text Add to dashboard Cite

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Seiches in the Eastern Caribbean

Woodworth

2017

Pure Appl. Geophys.

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Data from a network of tide gauges in the eastern Caribbean have been used to investigate the periods and amplitudes of seiches at each station, and the coherence in seiche activity between stations. Seiches in this area have very small amplitudes, but they can be readily identified in the sea level spectra obtained from high-quality, high-frequency tide gauges. Most of their periods are found to be determined by the quarter-wavelength response of the adjacent shelf, and their Q values are generally consistent with them being relatively undamped. At several stations, the forcing responsible for the seiches is clear. At others, the forcing is harder to pin down, seiches appearing seemingly randomly, and resulting in what has been called 'continuous seiche'. Overall, it is demonstrated that seiches (or at least their statistics) need to be better understood and to be included effectively in studies of extreme sea levels. Also related to shelf resonance, two possible examples of 'tidal ringing' have been identified.Port St Charles has no obvious peaks at lower frequencies apart from one at approximately 6.4 cph. The narrow peak at about 0.56 cph is consistent with being an M14 tidal harmonic (see text).Calliaqua has no peaks apart from very minor ones around 1.7 and 2.9 cph and a stronger and wider one at 7.7 cph.Ganter's Bay has a main peak around 3.775 cph (see text) and secondary ones around 2.775, 5.275 cph and around 12-16 cph.Fort de France has a broad but low amplitude peak around 1.025 cph. There are peaks also around 2.775, 3.325, 5.125 cph and a broad and large enhancement around 6.925-7.475 cph.Le Prêcheur has nothing obvious in its spectrum.Le Robert has a large seiche peak at 0.975 cph that is possibly split at diurnal and semidiurnal sidebands (see text). Another broad enhancement around 2.625 cph.Roseau has nothing to mention in its spectrum at lower frequencies. Peak at about 17.4 cph. Note this site has more transmission errors than some others.The Roseau record suffered from many transmission gaps that generated false spikes at 12 and 24 cph which have been excluded by the plot limits used below.Deshaies has large peaks around 2.975 and 4.025 cph and also a higher frequency peak around 12 cph.Pointe-à-Pitre has a large peak around 0.975 cph. Also one at about 2.675 cph and others higher. La Désirade has a broad peak centred around 2.8 cph with a split spectrum (approximately 2.725 and 2.925 cph) and others at around 3.4 and 4 cph, and a broad plateau of energy from 5-10 cph.

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A hybrid multi-step storm surge forecasting model using multiple feature selection, deep learning neural network and transfer learning

Wang

Liu

2022

Soft Comput

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Probabilistic hurricane-induced storm surge hazard assessment in Guadeloupe, Lesser Antilles

Cited by 30 publications

References 29 publications

Assessing storm surge hazard and impact of sea level rise in the Lesser Antilles case study of Martinique

Assessing storm surge hazard and impact of sea level rise in the Lesser Antilles case study of Martinique

Seiches in the Eastern Caribbean

A hybrid multi-step storm surge forecasting model using multiple feature selection, deep learning neural network and transfer learning

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