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Sensitivity analysis of the numerical aspect of the SWAN for the tropical cyclone wave simulations in the Gulf of Oman

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Abstract

The simulating waves nearshore (SWAN) model is designed for the wave simulations of nearshore areas. In the present study, this model has been applied for simulating tropical cyclone–generated waves in the Gulf of Oman. The wind and pressure field of the Gonu cyclone were reproduced by means of the cyclone wind generation (CWG) tool of the Mike DHI within multiple inputs, including the geographical location of the center of the cyclone, the radius of maximum wind speed, the pressure at the center of the cyclone, the neutral pressure, the start time of the cyclone period, and the maximum wind speed. The required specifications of the cyclone were obtained from the Joint US Typhoon Warning Center (JTWC) and introduced into the CWG module. With the purpose of achieving optimal settings of the model, a sensitivity analysis of the time step, grid resolution, and angle resolution has been conducted. Sensitivity analysis demonstrates that effects of time step have a significant impact on the results, while generally speaking angel and grid resolution are less impressive.

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Acknowledgments

Parallel processes conducted in this study were carried out using the cluster system of the Atmospheric Science and Meteorological Research Center (ASMERC) of the I. R. of IRAN Meteorological Organization (IRIMO). Also, to validate the results of the model, the field data measured by the monitoring and modeling study of the Iranian coasts and supported by the I. R. IRAN Ports and Maritime Organization (PMO) was used; the authors of the article express their gratitude to these organizations.

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Correspondence to Ali Karami Khaniki.

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Responsible Editor: Zhihua Zhang

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Siahsarani, A., Karami Khaniki, A., Aliakbari Bidokhti, AA. et al. Sensitivity analysis of the numerical aspect of the SWAN for the tropical cyclone wave simulations in the Gulf of Oman. Arab J Geosci 13, 692 (2020). https://doi.org/10.1007/s12517-020-05629-8

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  • DOI: https://doi.org/10.1007/s12517-020-05629-8

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