Swells Modulated TCs Waves in the Bay of Bengal
DOI: https://doi.org/10.62517/jsse.202408304
Author(s)
Yongheng Zhang1, Hui Shi1,2,*, Yelong Chang3,4
Affiliation(s)
1China Water Resources Pearl River Planning Surveying & Designing CO., LTD, Guangzhou, Guangdong, China
2School of Marine Sciences, Sun Yat-Sen University, Guangzhou, Guangdong, China
3South China University of Technology, Guangzhou, Guangdong, China
4South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, Guangdong, China
*Corresponding Author.
Abstract
Tropical cyclones (TCs) waves have a significant impact on offshore and coastal engineering, beach erosion and flooding in coastal areas. An attempt is made to study the modulation effects of the swells from Southern Indian Ocean on TC waves in Bay of Bengal (BoB). The third generation ocean wave model, SWAN (Simulating Waves Nearshore) is implemented and validated to simulate significant wave heights (SWH) and mean wave period (MWP) during four TCs in 2013. Simulations were carried out by three different model domains for analyzing the swells modulation effects. It was discovered that swells from the Southern Indian Ocean significantly influence the wave climate in the Bay of Bengal during tropical cyclones. Along the western and eastern coasts of the Bay of Bengal, the contribution of swells to tropical cyclone wave heights is substantial, owing to the shelter provided by topographical features such as islands and reefs. In the inlet of the BoB, TC waves are also modulated by swells. However, near the centers of TCs and in the middle of the BoB, the modulating effects of swells are weak or even negligible.
Keywords
Wave Modeling; Swells; Bay of Bengal; Tropical Cyclones; Ocean Wave; SWAN
References
[1]Aboobacker VM, Rashmi R, Vethamony P, Menon HB, 2011a. On the dominance of pre-existing swells over wind seas along the west coast of India. Cont. Shelf Research 31, 1701–1712.
[2]Aboobacker VM, Vethamony P, Rashmi R, 2011b. Shamal swells in the Arabian Sea and their influence along the west coast of India. Geophysical Research Letters. 38 (3), 7.
[3]Alves Jose-Henrique GM (2006). Numerical modeling of ocean swell contributions to the global wind-wave climate. Ocean Modelling, 11(1–2), 98-122.
[4]Atlas R, Hoffman RN, Ardizzone J, Leidner SM, Jusem JC, Smith DK, et al. (2011). A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bulletin of the American Meteorological Society, 92, 157–174.
[5]Pierre Queffeulou. (2004). Long-term validation of wave height measurements from altimeters. Marine Geodesy, 27(3), 495-510.
[6]Ris RC, Booij N, Holthuijsen LH. (1999). A third-generation wave model for coastal regions, 2. verification. J. geophys res. 104(c4):7667-7681.
[7]Hanson JL, Phillips OM, (2001). Automated analysis of ocean surface directional wave spectra. J. Atmos. Ocean. Technol., 277–293.
[8]Houston SH, Shaffer WA, Powell MD, Chen J. (1999). Comparisons of HRD and SLOSH surface wind fields in hurricanes: implications for storm surge modeling. Weather & Forecasting, 14(5), 671-686.
[9]Kim SY, Yasuda T, Mase H. (2008). Numerical analysis of effects of tidal variations on storm surges and waves. Applied Ocean Research, 30(4), 311-322.
[10]Glejin J, Kumar VS, Nair TMB. (2013). Monsoon and cyclone induced wave climate over the near shore waters off puduchery, south western bay of bengal. Ocean Engineering, 72(4), 277-286.
