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ABSTRACT

Numerical Prediction of the Ocean Surface Wind in a Bay and Application for Ship Navigation

S. Shiotani1

Organization of Advanced Science and Technology, Kobe University, Japan

The International Conference on Computational & Experimental Engineering and Sciences 2008, 7(4), 159-166. https://doi.org/10.3970/icces.2008.007.159

Abstract

This paper deals with the numerical estimation of the ocean surface wind in a bay. Such estimates are very important because the wind reacts to environmental problem, such as the effects of a marine structure or a sailing ship. The estimation of the ocean surface wind was carried out in Osaka Bay in Japan using the mesoscale meteorological model MM5. The calculated numerical results were compared with the observed ones. It was confirmed that the ocean surface wind in Osaka Bay was accurately estimated. As an application of the estimation of wind in the bay, navigational simulations of a sailing ship under the effects of the wind were conducted using the numerical data of the ocean surface wind. It was proved that the effects of the wind in coastal waters on a sailing ship could be accurately estimated in a navigational simulation for optimum weather routing as the final object.

Cite This Article

APA Style
Shiotani, S. (2008). Numerical prediction of the ocean surface wind in a bay and application for ship navigation. The International Conference on Computational & Experimental Engineering and Sciences, 7(4), 159-166. https://doi.org/10.3970/icces.2008.007.159
Vancouver Style
Shiotani S. Numerical prediction of the ocean surface wind in a bay and application for ship navigation. Int Conf Comput Exp Eng Sciences . 2008;7(4):159-166 https://doi.org/10.3970/icces.2008.007.159
IEEE Style
S. Shiotani, “Numerical Prediction of the Ocean Surface Wind in a Bay and Application for Ship Navigation,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 7, no. 4, pp. 159-166, 2008. https://doi.org/10.3970/icces.2008.007.159



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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