Effect of long-term wave climate variability on longshore sediment transport along regional coastlines

Chowdhury, Piyali; Behera, Manasa Ranjan

doi:10.1016/j.pocean.2017.06.001

Cited by 34 publications

(20 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…9 and 17% decreases in annual net LST rates were observed for a reduction of 5 and 10% of SWH in all the hourly data of 2011, respectively. A recent study by Chowdhury and Behera (2017) using ERA-I annual and monthly averaged wave parameters has estimated LST rates which vary in the range of 2 to 8 × 10 5 m 3 yr −1 which is larger than reported in this study. This large difference between the present estimate of LST with Chowdhury and Behera (2017) is due to the fact that using the annual average value of wave parameters for LST estimate will lead to large error since the wave parameters show a large variation at shorter time span and also their study was based on data at offshore boundary point.…”

Section: 1029/2018jc014900contrasting

confidence: 80%

“…A recent study by Chowdhury and Behera (2017) using ERA-I annual and monthly averaged wave parameters has estimated LST rates which vary in the range of 2 to 8 × 10 5 m 3 yr −1 which is larger than reported in this study. This large difference between the present estimate of LST with Chowdhury and Behera (2017) is due to the fact that using the annual average value of wave parameters for LST estimate will lead to large error since the wave parameters show a large variation at shorter time span and also their study was based on data at offshore boundary point. Thus, differences in shoreline orientation, source of wave data used in the model, and the temporal resolution of the wave data time-series account to the differences in LST estimates between the present study and previously reported.…”

Section: 1029/2018jc014900contrasting

confidence: 80%

See 1 more Smart Citation

Long‐Term Variations in Nearshore Wave Climate and Littoral Drift at Ganpatipule Coast, Eastern Arabian Sea and its Link to Pacific Climate Variability

George

Kumar

2019

JGR Oceans

View full text Add to dashboard Cite

Nearshore wave characteristics and its variations at Ganpatipule coast, eastern Arabian Sea, for the past 4 decades (1979–2016) have been examined. The study is based on European Centre for Medium‐Range Weather Forecasts Re‐Analysis‐Interim wave data at ~50 m water depth and the nearshore wave parameters estimated using the numerical model Simulating WAves Nearshore, executed from the Delft3D dashboard considering shallow water wave propagation, wave setup, and breaking. The littoral drift is estimated based on bulk transport formula of the Coastal Engineering Research Centre with the input from the hydrodynamic module. The model shows good agreement with wave rider buoy measured wave parameters at 14‐m water depth. Anomalies of breaker height, period, and direction vary in the range of −0.35–0.4 m, −0.80–1 s, and − 16 to 12°, respectively during the study period. A detailed analysis of monthly variations of breaker height along the study region suggests a significant increasing trend during the Asian summer monsoon, whereas a decreasing trend is identified during the nonmonsoon period. The study region accounts for a northerly net transport of 3.9 × 105 m3 yr−1 with a significant increasing trend of 1,840 m3 yr−1. The strong wind field region along the central Arabian Sea (65–70°E and 15–20°N) gives a strengthened positive correlation (r > 0.7) with the littoral drift. Impacts of Pacific climate variability on interannual and decadal timescales are observed in the littoral drift rates.

show abstract

Section: 1029/2018jc014900contrasting

confidence: 80%

Section: 1029/2018jc014900contrasting

confidence: 80%

Long‐Term Variations in Nearshore Wave Climate and Littoral Drift at Ganpatipule Coast, Eastern Arabian Sea and its Link to Pacific Climate Variability

George

Kumar

2019

JGR Oceans

View full text Add to dashboard Cite

show abstract

“…Where freshwater runoff contributes to maintain inlets, it may also cause adjacent spit retreat or progradation as rainfall respectively increases or diminishes (Ranasinghe et al ., ). Finally, changing storm tracks, storm intensity and frequency are likely to modify coastal resilience (Masselink et al ., ) and have a direct impact on the wave‐driven LST (Splinter et al ., ; Chowdhury and Behera, ).…”

Section: Introductionmentioning

confidence: 99%

Imprints of wave climate and mean sea level variations in the dynamics of a coastal spit over the last 250 years: Cap Ferret, SW France

Nahon

Idier

Sénéchal

et al. 2019

Earth Surf Processes Landf

View full text Add to dashboard Cite

In coastal areas, sea level rise (SLR) and changing wave climates are expected to be the main oceanic drivers of shoreline adjustments. These drivers have been shown to vary on a wide spectrum of spatial and temporal scales. Nonetheless, a general rule about how this variability impacts global shorelines remains to be articulated. Here, we discuss the impacts of wave climate changes and SLR on the evolution of a barrier spit-inlet system over the last 250 years. The distal end of the Cap Ferret barrier spit, SW France, has undergone large-scale oscillations that were well correlated with variations of the decadal average of the winter North Atlantic Oscillation (NAO) index. The local wave climate hindcast supports that increased alongshore wave energy fluxes associated with the positive phase of the NAO were responsible for the updrift retreat of the spit. By opposition, the spit has elongated downdrift when waves were less energetic and more shore normal, as during the negative phase of the NAO. In addition, lower rates of SLR appeared to be necessary for the spit to develop, as higher rates of SLR very likely forced the adjacent inlet to enlarge, at the expense of the spit. These results should help to predict and detect coastal adjustments driven by climate change and by climate variability.

show abstract

“…For example, temporal variations in annual net LST rates were examined using ERA datasets in southeast Queensland, Australia and were linked to climate indices [56]. Along the west coast of India, Jesbin et al [42] and Chowdhury et al [58] estimated temporal variations in LST using ERA datasets and established a link with pacific climate variability and the latitudinal position of the inter-tropical convergence zone (ITCZ), respectively. Hence, we have compared the LSTR estimate based on ERA-Interim with the buoy-measured wave data.…”

Section: Lstr Estimate Based On Era-interim Datamentioning

confidence: 99%

Nearshore Waves and Littoral Drift Along a Micro-Tidal Wave-Dominated Coast Having Comparable Wind-Sea and Swell Energy

George

Kumar

Gowthaman

et al. 2020

JMSE

View full text Add to dashboard Cite

The nearshore wave characteristics and variations in littoral drift (longshore sediment transport; LST) are estimated based on different approaches for four years along the Vengurla coast, with comparable wind-sea and swell energy assessed. The waverider buoy-measured data at 15 m water depth is utilized as the input wave parameters along with the reanalysis model data, and the numerical wave model Delft-3D is used for estimating the nearshore wave parameters. The relative contribution of wind-seas and swells on LST rates are specifically examined. The clear prevalence of west-southwest waves implies the prevalence of south to north longshore sediment transport with net transport varying from 0.19–0.37 × 105 m3/yr. LST is strongly dependent on the breaker angle and a small change in the wave direction substantially alters the LST, and hence reanalysis/model data with coarse resolutions produce large errors (~38%) in the LST estimate. The annual gross LST rate based on integral wave parameters is only 58% considering the wind-seas and swells separately, since the wind-sea energy is comparable to swell energy, and the direction of these two systems differs significantly.

show abstract

Effect of long-term wave climate variability on longshore sediment transport along regional coastlines

Cited by 34 publications

References 32 publications

Long‐Term Variations in Nearshore Wave Climate and Littoral Drift at Ganpatipule Coast, Eastern Arabian Sea and its Link to Pacific Climate Variability

Long‐Term Variations in Nearshore Wave Climate and Littoral Drift at Ganpatipule Coast, Eastern Arabian Sea and its Link to Pacific Climate Variability

Imprints of wave climate and mean sea level variations in the dynamics of a coastal spit over the last 250 years: Cap Ferret, SW France

Nearshore Waves and Littoral Drift Along a Micro-Tidal Wave-Dominated Coast Having Comparable Wind-Sea and Swell Energy

Contact Info

Product

Resources

About