Tide–surge interaction at the head of the Bay of Bengal during Cyclone Aila

Antony, Charls; Unnikrishnan, A.S.; Krien, Yann; Murty, P.L.N.; Samiksha, Shilpi; Islam, Akm Saiful

doi:10.1016/j.rsma.2020.101133

Cited by 18 publications

(11 citation statements)

References 35 publications

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“…In general, TSI becomes stronger the shallower the bathymetry becomese.g., extensive and shallow continental shelf, shallow seas, shallow estuaryand the coastal geometry becomes more complexe.g., coastal embayment, coastalbecause the shallow water effects, bed friction, and advection enhance non-linear interactions between NTR and tides (Flather, 2001;Zhang et al, 2010). Therefore the results are applicable to similarly complex sites such as the English Channel (Idier et al, 2012), the Southwestern Atlantic coast (Santamaria-Aguilar and Vafeidis, 2018), the Bay of Bengal (Antony et al, 2020), or even the Pacific Islands where Arns et al have shown that TSI can be positive (as previously discussed). Where TSI is likely to be strong, and in situ water level records are scarce and short, the use of skew-surge joint probability methods is a better approach for robust extreme value analysis (since the skew-surge is less likely to be influenced by TSI).…”

Section: Figure 12mentioning

confidence: 69%

“…Ultimately, the tidal asymmetry and the amplification of shallow-water harmonics result from the effects of bed friction and morphology on the tidal wave propagation, which are the same elements of the shallow-water equations that contribute the most to the TSI. The contribution of bed friction and shallow water effects have been shown as the most important for TSI in previous studies (e.g., Idier et al, 2012;Antony et al, 2020).…”

Section: Figure 12mentioning

confidence: 91%

“…For example, in the English channel (e.g., Idier et al, 2012;Vousdoukas et al, 2019) and in the Northern Sea (Vousdoukas et al, 2019), the water level predictions can be underestimated if TSI is not included in the numerical simulations. Antony et al (2020) have shown that TSI reduces the peak water level during extreme events in the Bay of Bengal. Other studies in the Gulf of Mexico (Rego and Li, 2010), the Taiwan Strait (Liu et al, 2016), the Gulf of St. Lawrence (Bernier and Thompson, 2007), the South China Sea (Zhang et al, 2017), the Australian coasts (Tang et al, 1996), and the South Korean (Park and Suh, 2012) show global interest in TSI and that it can range from few centimetres to more than a metre.…”

Section: Introductionmentioning

confidence: 99%

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A regional analysis of tide-surge interactions during extreme water levels in complex coastal systems of Aotearoa New Zealand

et al. 2023

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Tide-surge interaction (TSI) is a critical factor in assessing flooding in shallow coastal systems, particularly in estuaries and harbours. Non-linear interactions between tides and surges can occur due to the water depth and bed friction. Global investigations have been conducted to examine TSI, but its occurrence and impact on water levels in Aotearoa New Zealand (NZ) have not been extensively studied. Water level observations from 36 tide gauges across the diverse coast of NZ were analysed to determine the occurrence and location of TSI. Statistical analysis and numerical modelling were conducted on data from both inside and outside estuaries, focusing on one estuary (Manukau Harbour) to determine the impact of TSI and estuarine morphology on the co-occurrence rate of extreme events. TSI was found to occur at most sites in NZ and primarily affects the timing of the largest surges relative to high tide. There were no regional patterns associated with the tide, non-tidal residual, or skew-surge regimes. The strongest TSI occurred in inner estuarine locations and was correlated with the intertidal area. The magnitude of the TSI varied depending on the method used, ranging from -16 cm to +27 cm. Co-occurrence rates of extreme water levels outside and inside the same estuary varied from 20% to 84%, with TSI modulating the rate by affecting tidal amplification. The results highlight the importance of investing in a more extensive tide gauge network to provide longer observations in highly populated estuarine coastlines. The incorporation of TSI in flooding hazard projections would benefit from more accurate and detailed observations, particularly in estuaries with high morphological complexity. TSI occurs in most sites along the coast of NZ and has a significant impact on water levels in inner estuarine locations. TSI modulates the co-occurrence rate of extreme water levels in estuaries of NZ by affecting tidal amplification. Therefore, further investment in the tide gauge network is needed to provide more accurate observations to incorporate TSI in flooding hazard projections.

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Section: Figure 12mentioning

confidence: 69%

Section: Figure 12mentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

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A regional analysis of tide-surge interactions during extreme water levels in complex coastal systems of Aotearoa New Zealand

et al. 2023

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“…As shown in Fig. 11 , temporal variation of residual at Chittagong shows periodical fluctuations owing to the tide–surge interaction, which as a non-linear process depends on the amplitude and phase of the tidal constituents and the storm (McLaughlin et al 2022 ) being significant in shallow seas and estuaries (Spicer et al 2019 ; Antony et al 2020 ). After removing the high-frequency components with a low-pass filter (Feng et al 2016 ), temporal variation of the surge signal at Chittagong is obtained, which began to rise rapidly on May 19th, reached its peak value about 1 m around 18:00 on May 20th (after Amphan landing), and then decreased gradually.…”

Section: Spatiotemporal Characteristics Of Amphan-related Parametersmentioning

confidence: 99%

Dynamical characteristics of Amphan and its impact on COVID-19 cases in Bangladesh

Meng

Zhang

Liu

et al. 2023

Meteorol Atmos Phys

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In May 2020, a category-5 tropical cyclone (TC) Amphan formed in the Bay of Bengal and struck the coasts of India and Bangladesh. In this study, the relevant dynamic characteristics and aftermaths of Amphan are documented. Through detailed investigation of the reanalysis and observation data, spatiotemporal varying characteristics of the atmospheric and oceanic parameters during the Amphan propagation process were analyzed. Due to a wide range of high sea surface temperature anomaly, Amphan developed rapidly and ultimately led to the local heavy precipitation and strong winds in the coastal areas during its passage. It is also noted that the recorded wave height, wave period, and current speed all amplified when Amphan passed by and the characteristics of wave and current directions are also consistent with the temporal variation of the corresponding wind field. Meanwhile, Amphan occurred in accompany with the ongoing COVID-19 pandemic. In Khulna Division of Bangladesh, the number of newly confirmed COVID-19 cases increased rapidly after Amphan landing, which however was almost nil before the event, indicating there might exist a possible correlation between Amphan and the intensive outbreak of the local COVID-19, and particular attentions should be paid to deal with the multi-type, coexisting disasters if different or even conflicting measures are required.

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“…However, in the central Red Sea, the tidal range drops to 0.2 m where the tidal amphidrome is present (Madah et al, 2015;Gharbi et al, 2018). Even so, the tidal phase has significant impact on total water level as a storm event occurring during a high tide causes higher inundation than the same event during a low tide (Antony et al, 2020). In a small tidal regime such as that of the Red Sea, water level changes due to meteorological forces can be significant.…”

Section: Introductionmentioning

confidence: 99%

Extreme water levels along the central Red Sea coast of Saudi Arabia: processes and frequency analysis

et al. 2020

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Knowledge about extreme water levels is essential for efficient planning and design of coastal infrastructure. This study uses a high-resolution (~ 60 m) coupled ADvanced CIRCulation+ Simulating WAves Nearshore (ADCIRC+SWAN) modeling system to estimate extreme water levels in the coastal waters of King Abdullah Economic City (KAEC), Saudi Arabia, located on the central eastern coast of the Red Sea. High spatial-(5-km) and temporal-(hourly) resolution meteorological fields are generated to drive the model, along with open ocean tides. The characteristics of extreme water levels in the region are subsequently described based on the validated model simulations. The central Red Sea is characterized by a low-tidal regime and meteorological events contribute significantly to total water levels: meteorological surges cause water level increases of up to 75 cm inside the KAEC lagoon. An extreme value analysis based on annual maxima of hindcast water level data is conducted and the results suggest that the inferred 100-year water levels are about 80 cm inside the KAEC lagoon. It is also shown that projected sea level rise would reduce the average recurrence intervals of extreme water levels along the KAEC coastline.

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Tide–surge interaction at the head of the Bay of Bengal during Cyclone Aila

Cited by 18 publications

References 35 publications

A regional analysis of tide-surge interactions during extreme water levels in complex coastal systems of Aotearoa New Zealand

A regional analysis of tide-surge interactions during extreme water levels in complex coastal systems of Aotearoa New Zealand

Dynamical characteristics of Amphan and its impact on COVID-19 cases in Bangladesh

Extreme water levels along the central Red Sea coast of Saudi Arabia: processes and frequency analysis

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