Spectral wave modelling of Typhoon Krosa

Babanin, Alexander V.; Hsu, Tai‐Wen; Roland, Aron; Ou, Shan‐Hwei; Doong, Dong Jiing; Kao, Chia Chuen

doi:10.5194/nhess-11-501-2011

Cited by 40 publications

(21 citation statements)

References 29 publications

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“…Differences of fauna conservation and surface coloration, suggest that historic storm events have affected these mega-blocks. Babanin et al (2011) modelled wave conditions produced by Typhoon Krosa prior to making landfall in Taiwan, on October 2007. For this purpose, the authors used the thirdgeneration wave models SWAN and WWMII.…”

Section: Observations Of Extreme Wavesmentioning

confidence: 99%

Outcomes of the Special Issue on Extreme and Rogue Waves

Pelinovsky

Kharif

2011

Nat. Hazards Earth Syst. Sci.

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Section: Observations Of Extreme Wavesmentioning

confidence: 99%

Outcomes of the Special Issue on Extreme and Rogue Waves

Pelinovsky

Kharif

2011

Nat. Hazards Earth Syst. Sci.

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“…Such a strong impact of refraction is not usual but also not unique in coastal areas. It 25 is usually thought to be responsible for a local increase in wave heights not only in the Baltic Sea (Soomere, 2003) but also in extreme ocean conditions (Babanin et al, 2011). The major differences in the two sets of estimates of set-up heights clearly signal that the use of simplified methods and taking into account only waves that propagate almost onshore may lead to substantial underestimation of various wave-driven hazards.…”

Section: Maximum Set-up Heightsmentioning

confidence: 99%

Inverse Gaussian distribution of wave set-up heights along a shoreline with complicated geometry

Soomere

Pindsoo

2017

Preprint

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Abstract. The phenomenon of wave set-up may substantially contribute to the formation of devastating coastal flooding in certain coastal sections. We study empirical probability distribution of the occurrence of different set-up heights in section of coastline near Tallinn in the Gulf of Finland, the eastern Baltic Sea. The shoreline in the study area is often attacked by high 10 waves from various directions and also has a complex geometry. Shown is that this distribution substantially deviates from the Rayleigh or the Weibull distribution that usually reflect the distribution of different wave heights. The distribution of wave set-up heights matches a Wald (inverse Gaussian) distribution along the entire study area. Even though different sections of the study area are open to different directions and host substantially different wave regimes, the leading term of the exponent in the associated inverse Gaussian distribution varies insignificantly along the study area and generally is close 15 to -1. This appearance signals that extreme set-up events are substantially more probable that it could be expected from the probability of occurrence of severe seas. This feature is invariant with respect to the orientation of the coastline and with respect to the properties of local wave climate.

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“…A number of studies were carried out to understand wave generation and wave growth during hurricane (Young, 2006;PrasadKumar and Stone, 2007;Xu et al, 2007;Chu and Cheng, 2008;Soomere et al, 2008;Fan et al, 2009;Babanin et al, 2011). As of today, the largest significant wave height (H s ) measured was 24 m during Typhoon Krosa in 32 m water depth (Babanin et al, 2011). In the Bay of Bengal, the largest H s measured is 8.4 m on 28 October 1999 during the passage of the Orissa super cyclone (Rajesh et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…The waves generated during cyclones govern the design of marine facilities, and hence the characteristics of the waves during cyclones are required for planning and design of offshore facilities and for planning mitigation measures. A number of studies were carried out to understand wave generation and wave growth during hurricane (Young, 2006;PrasadKumar and Stone, 2007;Xu et al, 2007;Chu and Cheng, 2008;Soomere et al, 2008;Fan et al, 2009;Babanin et al, 2011). As of today, the largest significant wave height (H s ) measured was 24 m during Typhoon Krosa in 32 m water depth (Babanin et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Waves off Gopalpur, northern Bay of Bengal during Cyclone Phailin

et al. 2014

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Abstract. The wave statistical parameters during Cyclone Phailin which crossed the northern Bay of Bengal are described based on the Directional Waverider buoy-measured wave data from 8 to 13 October 2013. On 12 October 2013, the cyclone passed within 70 km of the Waverider buoy location with a wind speed of 59.2 m s −1 (115 knots), and during this period, a maximum significant wave height of 7.3 m and a maximum wave height of 13.5 m were measured at 50 m water depth. Eight freak wave events are observed during the study period. The ratio of the maximum wave height to significant wave height recorded is found to be higher than the theoretical value and the ratio of the crest height to wave height during the cyclone was 0.6 to 0.7. The characteristics of the wave spectra before and after the cyclone is studied and found that the high-frequency face of the wave spectrum is proportional to f −3 before the cyclone and is between f −4 and f −5 during the cyclone period.

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Spectral wave modelling of Typhoon Krosa

Cited by 40 publications

References 29 publications

Outcomes of the Special Issue on Extreme and Rogue Waves

Outcomes of the Special Issue on Extreme and Rogue Waves

Inverse Gaussian distribution of wave set-up heights along a shoreline with complicated geometry

Waves off Gopalpur, northern Bay of Bengal during Cyclone Phailin

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