Observational evidence from direct current measurements for propagation of remotely forced waves on the shelf off the west coast of India

Amol, P.; Shankar, D.; Aparna, S G; Shenoi, S. S. C.; Fernando, V.; Shetye, S.R.; Mukherjee, A.; Agarvadekar, Y.; Khalap, S.; Satelkar, N. P.

doi:10.1029/2011jc007606

Cited by 50 publications

(54 citation statements)

References 57 publications

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“…The empirical mode decomposition (EMD) analysis is a new method, which has been used to identify the CTWs (Yin et al, 2014). The wavelet analysis method has also been applied to estimate the properties of CTWs (Camayo and Campos, 2006;Thiebaut and Vennell, 2010;Amol et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Wavelet analysis of coastal-trapped waves along the China coast generated by winter storms in 2008

Zheng

et al. 2015

Acta Oceanol. Sin.

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This study applies the wavelet analysis to the tidal gauge records, alongshore winds, atmospheric temperature and pressure along the China coast in winter 2008. The analysis results show three events of sea level oscillations (SLOs) on the shelf induced by winter storms. The first event occurred from January 9 to 21. The SLO periods were double-peaked at 1.6-5.3 and 7.0-16.0 d with the power densities of 0.04-0.05 and 0.10-0.15 m 2 ·d, respectively. The second event occurred from February 5 to 18. The SLO period was single-peaked at 2.3-3.5 d with power density of 0.03-0.04 m 2 ·d. The third event occurred from February 20 to March 8. The SLO periods were doublepeaked at 1.5-4.3 and 6.1-8.2 d with the power densities of 0.08-0.11 and 0.02-0.08 m 2 ·d, respectively. The SLOs propagated along the coast from Zhejiang in north to Guangdong in south. The phase speeds ranged about 9-29 m/s from Kanmen to Pingtan, 5-11 m/s from Xiamen to Huizhou and 11-22 m/s from Huizhou to Shuidong. The dispersion relation of the SLOs shows their nature of coastal-trapped wave.

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Section: Introductionmentioning

confidence: 99%

Wavelet analysis of coastal-trapped waves along the China coast generated by winter storms in 2008

Zheng

et al. 2015

Acta Oceanol. Sin.

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“…Recent studies provide evidence for the importance of intra‐seasonal variability in the coastal circulation [ Durand et al ., ; Suresh et al ., ; Vialard et al ., ; Amol et al ., ; Girishkumar et al ., ; Amol et al ., ]. Durand et al .…”

Section: Introductionmentioning

confidence: 99%

“…Amol et al . [] use data from these ADCP moorings to elicit the propagation of CTWs along the west coast of India although the emphasis is on periods shorter than the 30 days cutoff in our analysis. In addition, Amol et al .…”

Section: Introductionmentioning

confidence: 99%

Intra‐seasonal sea level variability along the west coast of India

Dhage

Strub

2016

JGR Oceans

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The importance of local versus distant forcing is studied for the wind‐driven intra‐seasonal (30–120 day) sea level anomaly (SLA) variations along the west coast of India. Significant correlations of altimeter‐derived SLA on the west coast are found with the mid‐basin SLA east of Sri Lanka and SLA as far as Sumatra and the equator, with increased lags, connecting with the remote forcing from the equator in the form of reflected Rossby waves. The highest correlations between SLA on the west coast and winds are found with the winds at the southern tip of India. Coherence calculations help to identify the importance of a narrow band (40–60 day) for the interactions of winds with the intra‐seasonal SLA variations. A multivariate regression model, along with the coherences within this narrower band, suggest the lags of SLA on the west coast with winds to range from 0 to 2 days with the local forcing to 11–13 days with the forcing along south east coast of India. Hovmöller diagrams illustrate the propagation of signals by estimating phase speed for Rossby waves (57 cm/s) across the Indian Ocean from Sumatra and Coastal Trapped Waves (CTWs) along the west coast of India (178 cm/s). Propagation from the south‐east coast of India is not as robust as Rossby waves from Sumatra.

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“…4). The other key process is advection by the WICC, whose seasonal cycle is not locally forced [as realised by Banse (1984) and Shetye and Shenoi (1988)], but has been shown to be primarily forced remotely from the east coast of India (McCreary et al 1993;Shankar and Shetye 1997;Shankar et al 2002), with the alongshore winds off southwest India also playing a role (Shetye et al 2008;Amol et al 2012Amol et al , 2014. These two processes are not necessarily correlated, implying the possibility of considerable interannual variability in the evolution and extent of these deep mixed layers in the NEAS.…”

Section: Discussionmentioning

confidence: 97%

Inhibition of mixed-layer deepening during winter in the northeastern Arabian Sea by the West India Coastal Current

et al. 2015

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almost cancelled by the warming caused by a downwelling vertical velocity field. Therefore, the SST changes very little during December-February even as the ML shallows dramatically in the southern NEAS. These deep MLs of the NEAS also preclude a strong intraseasonal response to the intraseasonal variability in the fluxes. This role of horizontal advection implies that the ML depth in the NEAS is determined by an interplay of physical processes that are forced differently. The convective mixing depends on processes that are local to the region, but the advection is due to the WICC, whose seasonal cycle is primarily forced by remote winds. By inhibiting the formation of deep MLs in the southern NEAS, the WICC limits the region of formation of the high-salinity water masses of this region. Since the deep MLs in the NEAS have been linked to the high chlorophyll concentration there, our results imply that the conventional approach of averaging over boxes for studying the impact of physics on biogeochemistry can mask important details that are due to advection because it is the advective component of any budget that is most affected by the averaging process.

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Observational evidence from direct current measurements for propagation of remotely forced waves on the shelf off the west coast of India

Cited by 50 publications

References 57 publications

Wavelet analysis of coastal-trapped waves along the China coast generated by winter storms in 2008

Wavelet analysis of coastal-trapped waves along the China coast generated by winter storms in 2008

Intra‐seasonal sea level variability along the west coast of India

Inhibition of mixed-layer deepening during winter in the northeastern Arabian Sea by the West India Coastal Current

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