The energy balance in the wind-wave spectrum

Hiroshi Ichikawa

doi:10.1007/bf02108652

Sea Surface Drag Fluctuation in Relation to the Saturation Ratio of Wind Wave Spectrum

Journal of Japan Society of Civil Engineers Ser B2 (Coastal Engineering) ◽

10.2208/kaigan.66.101 ◽

2010 ◽

Vol 66 (1) ◽

pp. 101-105

Author(s):

Yasushi SUZUKI ◽

Yoshiaki TOBA ◽

Naoya SUZUKI ◽

Satoru KOMORI

Keyword(s):

Wind Wave ◽

Wave Spectrum ◽

Sea Surface ◽

Surface Drag ◽

Saturation Ratio

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On the possibility of reconstructing an anisotropic wind wave spectrum by the method of double-position sonar

Radiophysics and Quantum Electronics ◽

10.1007/bf01051870 ◽

1996 ◽

Vol 38 (1-2) ◽

pp. 93-97

Author(s):

L. S. Dolin ◽

M. I. Kondratyeva

Keyword(s):

Wind Wave ◽

Wave Spectrum

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Assessing wind wave spectrum representations in a shallow lake

Ocean Engineering ◽

10.1016/0029-8018(87)90010-2 ◽

1987 ◽

Vol 14 (1) ◽

pp. 39-50 ◽

Cited By ~ 6

Author(s):

Paul C. Liu

Keyword(s):

Shallow Lake ◽

Wind Wave ◽

Wave Spectrum

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A fully coupled Atmosphere–Ocean Wave modeling system (WEW) for the Mediterranean Sea: interactions and sensitivity to the resolved scales and mechanisms

Geoscientific Model Development Discussions ◽

10.5194/gmdd-8-4075-2015 ◽

2015 ◽

Vol 8 (5) ◽

pp. 4075-4112

Author(s):

P. Katsafados ◽

A. Papadopoulos ◽

G. Korres ◽

G. Varlas

Keyword(s):

Data Exchange ◽

Wind Wave ◽

Aerodynamic Drag ◽

Wave Spectrum ◽

Ocean Wave ◽

Wave System ◽

Sea State ◽

Scientific Performance ◽

Research Activities ◽

Fully Coupled

Abstract. It is commonly accepted that there is an urgent need for a better understanding of the factors that contribute to the air–sea interaction processes and their feedbacks. In this sense it is absolutely important to develop advanced numerical prediction systems that treat the atmosphere and the ocean as a unified system. The realistic description and understanding of the exchange processes near the ocean surface, requires the exact knowledge of the sea state and its evolution. This can be achieved by considering the sea surface and the atmosphere as a continuously cross talking dynamic system. Therefore, this study aims to present the effort towards developing a new, high-resolution, two-way fully coupled atmosphere–ocean wave model in order to support operational and research activities. A specific issue that it is emphasized here is the determination and parameterization of the air–sea momentum fluxes under conditions of extremely high and time-varying winds. Software considerations, data exchange as well as computational and scientific performance of the coupled system, so-called WEW, are also discussed throughout this study. In a case study of high-impact weather and sea state event, the wind–wave parameterization scheme reduces the resulted wind speed and the significant wave height as a response to the increased aerodynamic drag over rough sea surfaces. Overall, WEW offers a more realistic representation of the momentum exchanges in the ocean wind–wave system and includes the effects of the resolved wave spectrum on the drag coefficient and its feedback on the momentum flux.

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Application of Data Assimilation for a Spectral Wave Model on Unstructured Meshes

Volume 2: Ocean Engineering and Polar and Arctic Sciences and Technology ◽

10.1115/omae2006-92449 ◽

2006 ◽

Cited By ~ 2

Author(s):

Tai-Wen Hsu ◽

Shan-Hwei Ou ◽

Jian-Ming Liau ◽

Jaw-Guei Lin ◽

Chia-Chuen Kao ◽

...

Keyword(s):

Data Assimilation ◽

Wind Wave ◽

Wave Spectrum ◽

Wave Model ◽

Wave Period ◽

Optimal Interpolation ◽

Sequential Method ◽

Significant Wave ◽

Spectral Wave Model ◽

Buoy Data

The effect of the data assimilation of buoy data in the wind wave model (WWM) for wind wave simulations in both deep and shallow water regions developed by Hsu et al. [2005] is investigated. Following Lionello et al. [1992], the sequential method is implemented, where analyzed wave spectra and significant wave fields were assimilated by optimal interpolation (OI), then the analyzed values were used to reconstruct the wave spectrum. This paper examines the results of the assimilation of wave spectrum, significant wave height and significant wave period in a nearshore WWM model. The WWM model underestimates the wave period because it incorrectly applies past wave field data. The analysis has provided useful indications of the shortcomings of the WWM model. In summary, the OI approach is shown to be a reliable assimilation scheme in the WWM model.

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