Hindcast and validation of Hurricane Ike (2008) waves, forerunner, and storm surge

Hope, Mark; Westerink, Joannes J.; Kennedy, Andrew; Kerr, P. C.; Dietrich, J. C.; Dawson, Clint; Bender, Christopher J.; Smith, Jane McKee; Jensen, Robert E.; Zijlema, Marcel; Holthuijsen, L.H.; Luettich, Rick; Powell, Mark D.; Cardone, Vincent J.; Cox, Andrew T.; Pourtaheri, Hasan; Roberts, Hugh; Atkinson, J. H.; Tanaka, Seizo; Westerink, H. J.; Westerink, Leendert G.

doi:10.1002/jgrc.20314

Cited by 166 publications

(148 citation statements)

References 59 publications

(95 reference statements)

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“…ADCIRC+SWAN (ADvanced CIRCulation+Simulating WAves Nearshore) is a coupled model that works on an unstructured mesh and allows for interaction between storm surges, waves and currents. This modelling system has been applied to hindcast hurricanes such as Katrina, Rita, Gustav and Ike (Westerink et al, 2008;Dietrich et al, 2011aDietrich et al, , b, 2012Hope et al, 2013;Longley, 2013;Sebastian et al, 2014).…”

mentioning

confidence: 99%

Wave–current interaction during Hudhud cyclone in the Bay of Bengal

Volvaiker¹,

Vethamony²,

Antony³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. The present work describes the interaction between waves and currents utilizing a coupled ADCIRC+SWAN model for the very severe cyclonic storm Hudhud, which made landfall at Visakhapatnam on the east coast of India in October 2014. Model-computed wave and surge heights were validated with measurements near the landfall point. The Holland model reproduced the maximum wind speed of ≈ 54 m s −1 with the minimum pressure of 950 hPa. The modelled maximum surge of 1.2 m matches with the maximum surge of 1.4 m measured off Visakhapatnam. The two-way coupling with SWAN showed that waves contributed ≈ 0.25 m to the total water level during the Hudhud event. At the landfall point near Visakhapatnam, the East India Coastal Current speed increased from 0.5 to 1.8 m s −1 for a short duration (≈ 6 h) with net flow towards the south, and thereafter reversed towards the north. An increase of ≈ 0.2 m in H s was observed with the inclusion of model currents. It was also observed that when waves travelled perpendicular to the coast after crossing the shelf area, with current towards the southwest, wave heights were reduced due to wave-current interaction; however, an increase in wave height was observed on the left side of the track, when waves and currents opposed each other.

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mentioning

confidence: 99%

Wave–current interaction during Hudhud cyclone in the Bay of Bengal

Volvaiker¹,

Vethamony²,

Antony³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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“…This model has been used and validated for various storm events around the world (e.g., Dietrich et al" 2011aDietrich et al" , b, 2012Hope et al, 2013;Kennedy et al, 2011;Murty et al, 2016). 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: 99%

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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“…ADCIRC+SWAN has been used and validated for various typhoon events all over the world [38,[57][58][59][60]. It has been found to give good performances for hindcasting the hydrodynamics and sea states around islands [7,8].…”

Section: Model Performance Using Different Wind Fieldsmentioning

confidence: 99%

Hazard Assessment of Typhoon-Driven Storm Waves in the Nearshore Waters of Taiwan

Chang

Shih

Chen

et al. 2018

Water

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Abstract:In Taiwan, the coastal hazard from typhoon-induced storm waves poses a greater threat to human life and infrastructure than storm surges. Therefore, there has been increased interest in assessing the storm wave hazard levels for the nearshore waters of Taiwan. This study hindcasted the significant wave heights (SWHs) of 124 historical typhoon events from 1978 to 2017 using a fully coupled model and hybrid wind fields (a combination of the parametric typhoon model and reanalysis products). The maximum SWHs of each typhoon category were extracted to create individual storm wave hazard maps for the sea areas of the coastal zones (SACZs) in Taiwan. Each map was classified into five hazard levels (I to V) and used to generate a comprehensive storm wave hazard map. The results demonstrate that the northern and eastern nearshore waters of Taiwan are threatened by a hazard level IV (SWHs ranging from 9.0 to 12.0 m) over a SACZ of 510.0 km 2 and a hazard level V (SWHs exceeding 12.0 m) over a SACZ of 2152.3 km 2 . The SACZs threatened by hazard levels I (SWHs less than 3.0 m), II (SWHs ranging from 3.0 to 6.0 m), and III (SWHs ranging from 6.0-9.0 m) are of 1045.2 km 2 , 1793.9 km 2 , and 616.1 km 2 , respectively, and are located in the western waters of Taiwan.

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Hindcast and validation of Hurricane Ike (2008) waves, forerunner, and storm surge

Cited by 166 publications

References 59 publications

Wave–current interaction during Hudhud cyclone in the Bay of Bengal

Wave–current interaction during Hudhud cyclone in the Bay of Bengal

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

Hazard Assessment of Typhoon-Driven Storm Waves in the Nearshore Waters of Taiwan

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