Observed characteristics of tide-surge interaction along the east coast of India and the head of Bay of Bengal

Antony, Charls; Unnikrishnan, A.S.

doi:10.1016/j.ecss.2013.08.004

Cited by 52 publications

(26 citation statements)

References 16 publications

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“…Tide-surge interaction has been most studied in the southern North Sea, where the largest positive NTR are observed to occur on the rising tide (Horsburgh and Wilson, 2007). Tide-surge interactions have also been observed across other continental shelf regions and in shallow water areas, including: the English Channel (Haigh et al, 2009b;Idier et al, 2012); Canada (Bernier and Thompson, 2007); Australia ; the South China Sea (Feng and Tsimplis, 2014); the Bay of Bengal (Antony and Unnikrishnan, 2013); and was observed during Hurricane Sandy off the USA east coast (Valle-Levinson et al, 2013). However, the extent to which tide-surge interactions occur has not been assessed for large stretches of the world's coastline.…”

Section: Introductionmentioning

confidence: 94%

Spatial and Temporal Variability and Long-Term Trends in Skew Surges Globally

Mawdsley

Haigh

2016

Front. Mar. Sci.

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Storm surges and the resulting extreme high sea levels are among the most dangerous natural disasters and are responsible for widespread social, economic and environmental consequences. Using a set of 220 tide gauges, this paper investigates the temporal variations in storm surges around the world and the spatial coherence of its variability. We compare results derived from two parameters used to represent storm surge: skew surge and the more traditional, non-tidal residual. We determine the extent of tide-surge interaction, at each study site, and find statistically significant (95% confidence) levels of tide-surge interaction at 59% of sites based on tidal level and 81% of sites based on tidal-phase. The tide-surge interaction was strongest in regions of shallow bathymetry such as the North Sea, north Australia and the Malay Peninsula. At most sites the trends in the skew surge time series were similar to those of non-tidal residuals, but where there were large differences in trends, the sites tended to have a large tidal range. Only 13% of sites had a statistically significant trend in skew surge, and of these approximately equal numbers were positive and negative. However, for trends in the non-tidal residual there were significantly more negative trends. We identified 8 regions where there were strong positive correlations in skew surge variability between sites, which meant that a regional index could be created to represent these groups of sites. Despite strong correlations between some regional skew surge indices, none were significant at the 95% level, however, at the 80% level there was significant positive correlation between the north-west Atlantic-south and the North Sea. Correlations between the regional skew surge indices and climate indices only became significant at the 80% level, where Niń o 4 was positively correlated with the Gulf of Mexico skew surge index and negatively correlated with the east Australia skew surge index. The inclusion of autocorrelation in the calculation of correlation greatly reduced their significance, especially in the short time-series used for the regional skew surge indices. Skew surge improved the representation of storm surge magnitudes, and therefore allows a more accurate detection of changes on secular and inter-annual time scales.

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Section: Introductionmentioning

confidence: 94%

Spatial and Temporal Variability and Long-Term Trends in Skew Surges Globally

Mawdsley

Haigh

2016

Front. Mar. Sci.

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“…The M 2 harmonic constants are barely larger than the formal error estimate (Figure a), and the power spectrum is not visibly reduced by subtracting the stationary tide (Figure b). Tides in the region exceed 1 m at the coast [ Murty and Henry , ; Sindhu and Unnikrishnan , ], and significant interactions between tides and storm surges occur here [ Antony and Unnikrishnan , ]. It might be speculated that the tidal nonstationarity is caused by nonlinear interactions of the barotropic tide with nontidal processes; however, the power spectrum is very clearly peaked at

k_{M 2}

and suggests that quasi‐linear internal tides are responsible for the variability.…”

Section: Regional Examplesmentioning

confidence: 99%

Mapping the nonstationary internal tide with satellite altimetry

Zaron

2017

JGR Oceans

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Temporal variability of the internal tide has been inferred from the 23 year long combined records of the TOPEX/Poseidon, Jason‐1, and Jason‐2 satellite altimeters by combining harmonic analysis with an analysis of along‐track wavenumber spectra of sea‐surface height (SSH). Conventional harmonic analysis is first applied to estimate and remove the stationary components of the tide at each point along the reference ground tracks. The wavenumber spectrum of the residual SSH is then computed, and the variance in a neighborhood around the wavenumber of the mode‐1 baroclinic M2 tide is interpreted as the sum of noise, broadband nontidal processes, and the nonstationary tide. At many sites a bump in the spectrum associated with the internal tide is noted, and an empirical model for the noise and nontidal processes is used to estimate the nonstationary semidiurnal tidal variance. The results indicate a spatially inhomogeneous pattern of tidal variability. Nonstationary tides are larger than stationary tides throughout much of the equatorial Pacific and Indian Oceans.

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“…Understanding tide-surge interaction is important since it can alter timing, severity and intensity of storm surges [Olbert et al, 2013;Haigh et al, 2014b, Antony andUnnikrishnan, 2013]. In the context of the present study, a better understanding of the potential non-linear interaction between tides and surges contributes to an understanding of the 25 uncertainty associated with the CMIP5-forced ocean model simulations.…”

Section: Tide-surge Interactionmentioning

confidence: 95%

Atmospheric Circulation Changes and their Impact on Extreme Sea Levels around Australia

Colberg¹,

McInnes²,

O’Grady³

et al. 2018

Preprint

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Abstract.Projections of sea level rise (SLR) will lead to increasing coastal impacts during extreme sea level events globally, however, there is significant uncertainty around short-term coastal sea level variability and the attendant frequency and severity of extreme sea level events. In this study, we investigate drivers of coastal sea level variability For the southern mainland coast the simulated scenarios suggest that a southward movement of the subtropical ridge leads to a small reduction in sea level extremes.

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Observed characteristics of tide-surge interaction along the east coast of India and the head of Bay of Bengal

Cited by 52 publications

References 16 publications

Spatial and Temporal Variability and Long-Term Trends in Skew Surges Globally

Spatial and Temporal Variability and Long-Term Trends in Skew Surges Globally

Mapping the nonstationary internal tide with satellite altimetry

Atmospheric Circulation Changes and their Impact on Extreme Sea Levels around Australia

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