Numerical estimation of extreme waves and surges over the northwest Pacific Ocean

Li, Jiangxia; Pan, Shunqi; Chen, Yongping; Yang, Fan; Pan, Yi

doi:10.1016/j.oceaneng.2018.01.076

Cited by 36 publications

(25 citation statements)

References 36 publications

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“…Combining the reanalysis or dynamic and parametric typhoon winds is believed to generate a better wind field in both the near-field and far-field regions of typhoons for storm wave and surge modeling [1,4,5,15,[46][47][48]. Hence, two methods were applied to construct the hybrid winds from the CFSV2 and MRV and from the ERA5 and MRV.…”

Section: Hybrid Typhoon Wind Fieldmentioning

confidence: 99%

Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan

Hsiao

Chen

et al. 2020

JMSE

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Super Typhoon Nepartak (2016) was used for this case study because it is the most intense typhoon that made landfall in Taiwan in the past decade. Winds extracted from the Climate Forecast System version 2 (CFSV2) and ERA5 datasets and merged with a parametric typhoon model using two hybrid techniques served as the meteorological conditions for driving a coupled wave-circulation model. The computed significant wave heights were compared with the observations recorded at three wave buoys in the eastern waters of Taiwan. Model performance in terms of significant wave height was also investigated by employing the CFSV2 winds under varying spatial and temporal resolutions. The results of the numerical experiments reveal that the simulated storm wave heights tended to decrease significantly due to the lower spatial resolution of the hourly winds from the CFSV2 dataset; however, the variations in the storm wave height simulations were less sensitive to the temporal resolution of the wind field. Introducing the combination of the CFSV2 and the parametric typhoon winds greatly improved the storm wave simulations, and similar phenomena can be found in the exploitation of the ERA5 dataset blended into the parametric wind field. The overall performance of the hybrid winds derived from ERA5 was better than that from the CFSV2, especially in the outer region of Super Typhoon Nepartak (2016).

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Section: Hybrid Typhoon Wind Fieldmentioning

confidence: 99%

Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan

Hsiao

Chen

et al. 2020

JMSE

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show abstract

“…In contrast, reanalysis wind data is inferior around the typhoon center but superior in the areas away from the center of the typhoon [53]. A combined usage of the parametric typhoon model and a reanalysis wind data is believed to generate better wind fields for an entire typhoon.…”

Section: (3) Hybrid Typhoon Modelmentioning

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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“…The initial database highly influences the assessment of extreme significant wave heights (Godoi et al, 2017;Lucas et al, 2017;Li et al, 2018;Ribal and Young, 2019). In previous studies, the long-term continuous database is usually employed as the initial database, such as a 32-year measured significant wave height in the Gulf of Maine (Viselli et al, 2015), a 44-year hindcasted significant wave height in the North Atlantic Ocean (Muraleedharan et al, 2016) and a 22-year hindcasted significant wave height in the Yellow Sea (Gao et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Extreme significant wave height of tropical cyclone waves in the South China Sea

Shao

Liang

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. Extreme significant wave heights are assessed in the South China Sea (SCS), as assessments of wave heights are crucial for coastal and offshore engineering. Two significant factors include the initial database and assessment method. The initial database is a basis for assessment, and the assessment method is used to extrapolate appropriate return-significant wave heights during a given period. In this study, a 40-year (1975–2014) hindcast of tropical cyclone waves is used to analyse the extreme significant wave height, employing the peak over threshold (POT) method with the generalized Pareto distribution (GPD) model. The peak exceedances over a sufficiently large value (i.e. threshold) are fitted; thus, the return-significant wave heights are highly dependent on the threshold. To determine a suitable threshold, the sensitivity of return-significant wave heights and the characteristics of tropical cyclone waves are studied. The sample distribution presents a separation that distinguishes the high sample from the low sample, and this separation is within the stable threshold range. Because the variation in return-significant wave heights in this range is generally small and the separation is objectively determined by the track and intensity of the tropical cyclone, the separation is selected as a suitable threshold for extracting the extreme sample in the tropical cyclone wave. The asymptotic tail approximation and estimation uncertainty show that the selection is reasonable.

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Numerical estimation of extreme waves and surges over the northwest Pacific Ocean

Cited by 36 publications

References 36 publications

Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan

Numerical Simulation of Large Wave Heights from Super Typhoon Nepartak (2016) in the Eastern Waters of Taiwan

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

Extreme significant wave height of tropical cyclone waves in the South China Sea

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