2021
DOI: 10.1016/j.oceaneng.2021.109550
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On the improvements in nearshore wave height predictions using nested SWAN-SWASH modelling in the eastern coastal waters of India

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Cited by 12 publications
(4 citation statements)
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“…SWAN model predicts precisely nearshore wave processes such as refraction, non-linear wave interactions, depthinduced breaking, white capping, and shoaling. In this case, as we simulate with a stationary mode, the SWAN model is capable of solving the balance equation, which can help in reducing computing times (Umesh and Behera, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…SWAN model predicts precisely nearshore wave processes such as refraction, non-linear wave interactions, depthinduced breaking, white capping, and shoaling. In this case, as we simulate with a stationary mode, the SWAN model is capable of solving the balance equation, which can help in reducing computing times (Umesh and Behera, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…SWASH model is also applied for further research on wave-runup and overtopping [16] and prediction of wave-runup on a coral-reef bed [17]. Further study on the improvement of wave height prediction in the near-shore is also carried out by Umesh, P and Behera, M (2021) [18].…”
Section: Introductionmentioning
confidence: 99%
“…With the development of wave models, the abundance of assimilation data, and the improvements in grid technology, wave models have been used to solve many scientific problems [7][8][9][10][11][12]. In wave numerical simulations, many ocean phenomena exist, and it is difficult to obtain results through calculations directly with the accuracy of the grid (not less than 50 m), which is called the sub-grid scale or sub-mesoscale physical process [13][14][15]. Thus, it is necessary to explore the empirical formulas derived from different physical processes to replace the model and generate efficient data, and the large-scale variable parameterization method used to close the equation is called the parameterization scheme [16,17].…”
Section: Introductionmentioning
confidence: 99%