Sensitivities of modelling storm surge to bottom friction, wind drag coefficient, and meteorological product in the East China Sea

Chu, Dongdong; Zhang, Jicai; Wu, Yongsheng; Jiao, Xiaohui; Qian, Suhui

doi:10.1016/j.ecss.2019.106460

Cited by 34 publications

(20 citation statements)

References 39 publications

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“…Astronomical tidal elevations on the open boundaries applied harmonics from the OTIS regional solution (Egbert and Erofeeva 2002). For the storm tide case, the proposed wind drag coefficients (Chu et al 2019) were used based on Zijlema et al (2012) adapted from Smith and Banke (1975).…”

Section: Storm Surge Modelmentioning

confidence: 99%

An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai

Yin

Bricker

et al. 2021

Nat Hazards

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Climate change leads to sea level rise worldwide, as well as increases in the intensity and frequency of tropical cyclones (TCs). Storm surge induced by TC’s, together with spring tides, threatens to cause failure of flood defenses, resulting in massive flooding in low-lying coastal areas. However, limited research has been done on the combined effects of the increasing intensity of TCs and sea level rise on the characteristics of coastal flooding due to the failure of sea dikes. This paper investigates the spatial variation of coastal flooding due to the failure of sea dikes subject to past and future TC climatology and sea level rise, via a case study of a low-lying deltaic city- Shanghai, China. Using a hydrodynamic model and a spectral wave model, storm tide and wave parameters were calculated as input for an empirical model of overtopping discharge rate. The results show that the change of storm climatology together with relative sea level rise (RSLR) largely exacerbates the coastal hazard for Shanghai in the future, in which RSLR is likely to have a larger effect than the TC climatology change on future coastal flooding in Shanghai. In addition, the coastal flood hazard will increase to a large extent in terms of the flood water volume for each corresponding given return period. The approach developed in this paper can also be utilized to investigate future flood risk for other low-lying coastal regions.

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Section: Storm Surge Modelmentioning

confidence: 99%

An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai

Yin

Bricker

et al. 2021

Nat Hazards

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“…The best combination of the wind field and parameters can improve the performance of storm surge simulations. In addition, Chu et al (2019) also conclude that non-linear tide-surge effects contribute 37% at the time of peak surge.…”

Section: Major Topics In This Si Topic 1: Effects Of Typhoons On Wave Dynamicsmentioning

confidence: 83%

“…In another application of FVCOM, Chu et al (2019) investigate the sensitivities of the modeled storm surges to bottom friction, wind drag coefficient, and four meteorological products in the ECS. Based on model-to-data comparison during Typhoon Winnie (1997), it is found that the NCEP-CFSR wind field performs the best among the four wind field products (ERA-Interim, ERA5, CCMP, NCEP-CFSR).…”

Section: Major Topics In This Si Topic 1: Effects Of Typhoons On Wave Dynamicsmentioning

confidence: 99%

“…In total, the Guest Editors of this SI received 25 submissions of which 12 were accepted for publication. Among these papers, the study areas cover the Atlantic coast (Liu et al, 2020;van der Lugt et al, 2019), the Salish Sea of the Pacific Ocean (Yang et al, 2020), the Arctic archipelago (Guo et al, 2020), the Bohai Sea (Cao et al, 2019;Song et al, 2020), the East China Sea (Chu et al, 2019;Xu et al, 2020;Wang et al, 2020a), and the South China Sea (Chen et al, 2019;Li et al, 2020;Wang et al, 2020b). Some of the presentations from the AGU Natural Hazards sessions were published elsewhere (Hegermiller et al, 2019;Kang and Xia, 2020;Shi et al, 2020).A summary of the articles contained in this SI is given in Table 1.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estuarine and coastal natural hazards: An introduction and synthesis

Veeramony

Sheremet

et al. 2020

Estuarine, Coastal and Shelf Science

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Two sessions were organized during the 2018 Fall AGU Meeting entitled, (1) Coastal Response to Extreme Events: Fidelity of Model Predictions of Surge, Inundation, and Morphodynamics and (2) Improved Observational and Modeling Skills to Understand the Hurricane and Winter Storm Induced Surge and Meteotsunami. The focus of these sessions was on examining the impact of natural disasters on estuarine and coastal regions worldwide, including the islands and mainland in the northwestern Atlantic and the northwestern Pacific. The key research interests are the investigations on the regional dynamics of storm surges, coastal inundations, waves, tides, currents, sea surface temperatures, storm inundations and coastal morphology using both numerical models and observations during tropical and extratropical cyclones. This Special Issue (SI) 'Estuarine and coastal natural hazards' in Estuarine Coastal and Shelf Science is an outcome of the talks presented at these two sessions. Five themes are considered (effects of storms on wave dynamics; tide and storm surge simulations; wave-current interaction during typhoons; wave effects on storm surges and hydrodynamics; hydrodynamic and morphodynamic responses to typhoons), arguably reflecting areas of greatest interest to researchers and policy makers. This synopsis of the articles published in the SI allows us to obtain a better understanding of the dynamics of natural hazards (e.g., storm surges, extreme waves, and storm induced inundation) from various physical aspects. The discussion in the SI explores future dimensions to comprehend numerical models with fully coupled wind-wavecurrent-morphology interactions at high spatial resolutions in the nearshore and surf zone during extreme wind events. In addition, it would be worthwhile to design numerical models incorporating climate change projections (sea level rise and global warming temperatures) for storm surges and coastal inundations to allow more precisely informed coastal zone management plans.

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“…Based on the previous study [26], the tropical cyclones influencing the SCC are roughly classified into four types: type 1 is a medium-turning tropical cyclone which propagates with a direction within 125 • E (Figure 1a); type 2 is similar to type 1, but with a propagation direction within a longitude range of 125 • E to 140 • E (Figure 1b); type 3 is a tropical cyclone that lands in Fujian province or dissipates in the Taiwan Strait (Figure 1c); type 4 is the one that lands in Zhejiang province, Jiangsu province, or disappears in the offshore (Figure 1d). Storm surge models have been developed along the SCC, and they mainly concentrated on studying a typhoon-induced storm surge process [23,27,28]. Although this region is vulnerable to storm surges, there has been little open literature reporting on the synergistic effects of key parameters in the wind and pressure field (forward speed, RMW, inflow angle, and central pressure), typhoon path, wind intensity, and topography on the modeling of storm surge and surge asymmetry along the SCC, which motivated this paper.…”

Section: Introductionmentioning

confidence: 99%

Modeling Study on the Asymmetry of Positive and Negative Storm Surges along the Southeastern Coast of China

Chu

Niu

Qiao

et al. 2021

JMSE

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In this paper, a three-dimensional storm surge model was developed based on the Finite Volume Community Ocean Model (FVCOM) by the hindcasts of four typhoon-induced storm surges (Chan-hom, Mireille, Herb, and Winnie). After model validation, a series of sensitivity experiments were conducted to explore the effects of key parameters in the wind and pressure field (forward speed, radius of maximum wind (RMW), inflow angle, and central pressure), typhoon path, wind intensity, and topography on the storm surge and surge asymmetry between sea level rise (positive surge) and fall (negative surge) along the southeastern coast of China (SCC). The model results show that lower central pressure and larger RMW could lead to stronger surge asymmetry. A larger inflow angle results in a stronger surge asymmetry. In addition, the path of Chan-hom is the most dangerous path type for the Zhoushan Archipelago area, and that of Winnie follows next. The model results also indicate that the non-linear interaction between wind field and pressure field tends to weaken the peak surge elevation. The effect of topography on storm surges indicates that the peak surge elevation and its occurrence time, as well as the surge asymmetry, increase with a decreasing slope along the SCC.

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Sensitivities of modelling storm surge to bottom friction, wind drag coefficient, and meteorological product in the East China Sea

Cited by 34 publications

References 39 publications

An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai

An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai

Estuarine and coastal natural hazards: An introduction and synthesis

Modeling Study on the Asymmetry of Positive and Negative Storm Surges along the Southeastern Coast of China

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