Temporal variability in wind–wave climate and its validation with ESSO-NIOT wave atlas for the head Bay of Bengal

Patra, Anindita; Bhaskaran, Prasad K.

doi:10.1007/s00382-016-3385-z

Cited by 39 publications

(14 citation statements)

References 14 publications

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“…It is evident that, from both the validations, the offshore locations revealed high correlation with the SWAN simulated wave heights. In case of, the near‐shore locations, higher correlations were obtained in comparison with ERA‐Interim data than altimeter data and the results shows good agreement qualitatively with the study reported by Patra and Bhaskaran () for the head Bay region. The study mainly focuses to emphasize the impact of seasonal winds on wave attenuation by mangroves for a mangrove‐dominated region.…”

Section: Resultssupporting

confidence: 88%

Inter‐seasonal variability of wind‐waves and their attenuation characteristics by mangroves in a reversing wind system

Parvathy

Umesh

Bhaskaran

2017

Intl Journal of Climatology

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The mutual interaction between surface gravity waves and vegetation such as mangroves using numerical wave models can provide better location specific wave forecasts having practical implications in the overall development of better near-shore wave climatology. Sundarban delta bordering the head Bay of Bengal is the largest mangrove forest in the world, and the present study reports on inter-seasonal variability of wave damping in presence of mangroves that thrive on a region dominated by seasonal reversing wind field. It aims to understand relative wave attenuation characteristics during a period of one year over this region that experiences a seasonal reversal of wind system. The study considers a multi-scale nested modelling approach to account for distant swells that propagate from Southern Ocean reaching various destinations in the North Indian Ocean region. The model was forced using 0.25 ∘ × 0.25 ∘ spatial resolution 6-hourly ECMWF ERA-Interim winds for coarse grid WAM and SWAN runs, and NCDC blended winds with a similar spatial and temporal resolution was used to force SWAN model executed in a flexible unstructured mesh. To avoid model uncertainties of providing wind from two different sources, the wind data of same temporal and spatial resolution has been adopted. The present study quantifies relative rate of wave energy dissipation for monthly and seasonal scales such as pre-monsoon, monsoon and post-monsoon periods by analysing characteristic variation of wave parameters and their spectral energy in presence of mangroves. The study has put forth an effort to validate model results against altimeter measurements and ERA-Interim data, as no actual measurements are available to validate model results simulated in the presence of mangroves. This study solely emphasizes on role of reversing wind system on relative wave attenuation characteristics and highlights the importance of a more detailed investigation to ascertain impact of varying vegetation parameters on wave attenuation characteristics.

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Section: Resultssupporting

confidence: 88%

Inter‐seasonal variability of wind‐waves and their attenuation characteristics by mangroves in a reversing wind system

Parvathy

Umesh

Bhaskaran

2017

Intl Journal of Climatology

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“…Presumably, the main reason to neglect wave period trends is that wave period variations are of little interest for other research areas or industries than wave energy, which is still an immature industry. Some very recent research works study wave period variations by means of statistical models similar to those used in the present paper: wave period trends in the Bay of Bengal are analysed in [23] combining satellite altimeter data with ERA-Interim and ERA-20 reanalyses and the evolution of peak periods and wave heights is studied all over the world in [24]. However, wave period trends are analysed for coastal impact assessment in [23,24], where wave climate variations are rather projected towards the future (1979-2100), instead of studying historical records of the last century, as in the present paper.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some very recent research works study wave period variations by means of statistical models similar to those used in the present paper: wave period trends in the Bay of Bengal are analysed in [23] combining satellite altimeter data with ERA-Interim and ERA-20 reanalyses and the evolution of peak periods and wave heights is studied all over the world in [24]. However, wave period trends are analysed for coastal impact assessment in [23,24], where wave climate variations are rather projected towards the future (1979-2100), instead of studying historical records of the last century, as in the present paper. Although [24] is a global study, more localised areas, such as Southern Australia and Western South America, are also selected for finer studies.…”

Section: Literature Reviewmentioning

confidence: 99%

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

et al. 2018

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Historical wave trends are studied via ECMWF's reanalyses over the 20th century. • ERA20 is calibrated via quantile-matching and validated against buoy measurements. • The wave energy resource increases over 40% off the west coast of Ireland. • A 30% surplus of AMPP is observed for different WECs due to resource variations. • Extreme events occurrence doubled, doubling the time WECs spend in survival mode.

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“…More observations are available, the more reliable are the data generated via the ERA20 reanalysis [34]. Consequently, the data provided by the ERA20 reanalysis are more accurate in the northern hemisphere, although they have also been used for the study of historical wave trends and coastal evolution in different locations of the southern hemisphere [35][36][37]. The spatial resolution of the ERA20 reanalysis is approximately 125 km and wave parameters can be obtained three-hourly [34].…”

Section: Era20c and Era-interim Reanalysesmentioning

confidence: 99%

Historical Evolution of the Wave Resource and Energy Production off the Chilean Coast over the 20th Century

et al. 2018

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The wave energy resource in the Chilean coast shows particularly profitable characteristics for wave energy production, with relatively high mean wave power and low inter-annual resource variability. This combination is as interesting as unusual, since high energetic locations are usually also highly variable, such as the west coast of Ireland. Long-term wave resource variations are also an important aspect when designing wave energy converters (WECs), which are often neglected in resource assessment. The present paper studies the long-term resource variability of the Chilean coast, dividing the 20th century into five do-decades and analysing the variations between the different do-decades. To that end, the ERA20C reanalysis of the European Centre for Medium-Range Weather Forecasts is calibrated versus the ERA-Interim reanalysis and validated against buoy measurements collected in different points of the Chilean coast. Historical resource variations off the Chilean coast are compared to resource variations off the west coast in Ireland, showing a significantly more consistent wave resource. In addition, the impact of historical wave resource variations on a realistic WEC, similar to the Corpower device, is studied, comparing the results to those obtained off the west coast of Ireland. The annual power production off the Chilean coast is demonstrated to be remarkably more regular over the 20th century, with variations of just 1% between the different do-decades.

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Temporal variability in wind–wave climate and its validation with ESSO-NIOT wave atlas for the head Bay of Bengal

Cited by 39 publications

References 14 publications

Inter‐seasonal variability of wind‐waves and their attenuation characteristics by mangroves in a reversing wind system

Inter‐seasonal variability of wind‐waves and their attenuation characteristics by mangroves in a reversing wind system

Wave energy resource variation off the west coast of Ireland and its impact on realistic wave energy converters’ power absorption

Historical Evolution of the Wave Resource and Energy Production off the Chilean Coast over the 20th Century

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