Numerical wind wave model with a dynamic boundary layer

V. G. Polnikov; Y. A. Volkov; F. A. Pogarskii

doi:10.5194/npg-9-367-2002

Numerical wind wave model with a dynamic boundary layer

Nonlinear Processes in Geophysics ◽

10.5194/npg-9-367-2002 ◽

2002 ◽

Vol 9 (3/4) ◽

pp. 367-371 ◽

Cited By ~ 2

Author(s):

V. G. Polnikov ◽

Y. A. Volkov ◽

F. A. Pogarskii

Keyword(s):

Boundary Layer ◽

Source Function ◽

Wind Wave ◽

Wave Spectrum ◽

Wave Model ◽

Fourth Generation ◽

Physical Treatment ◽

Wave State ◽

Dissipative Term ◽

Stage Of Development

Abstract. A modern version of a numerical wind wave model of the fourth generation is constructed for a case of deep water. The following specific terms of the model source function are used: (a) a new analytic parameterization of the nonlinear evolution term proposed recently in Zakharov and Pushkarev (1999); (b) a traditional input term added by the routine for an atmospheric boundary layer fitting to a wind wave state according to Makin and Kudryavtsev (1999); (c) a dissipative term of the second power in a wind wave spectrum according to Polnikov (1991). The direct fetch testing results showed an adequate description of the main empirical wave evolution effects. Besides, the model gives a correct description of the boundary layer parameters' evolution, depending on a wind wave stage of development. This permits one to give a physical treatment of the dependence mentioned. These performances of the model allow one to use it both for application and for investigation aims in the task of the joint description of wind and wave fields.

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Comparative Study of Performance of Wind Wave Model: Wavewatch—Modified By New Source Function

Engineering Applications of Computational Fluid Mechanics ◽

10.1080/19942060.2008.11015245 ◽

2008 ◽

Vol 2 (4) ◽

pp. 466-481 ◽

Cited By ~ 3

Author(s):

V. G. Polnikov ◽

V. Innocentini

Keyword(s):

Comparative Study ◽

Source Function ◽

Wind Wave ◽

Wave Model

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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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Third Generation Wind Wave Model Frequency Dependence of the White-Capping Dissipation Source Function

21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 4 ◽

10.1115/omae2002-28051 ◽

2002 ◽

Author(s):

Eustorgio Meza ◽

Jun Zhang ◽

Alejandro Olivares ◽

Jorge Brambila

Keyword(s):

Energy Dissipation ◽

Energy Density ◽

Frequency Dependence ◽

Source Function ◽

Wind Wave ◽

Wave Model ◽

Peak Frequency ◽

Third Generation ◽

Empirical Formulas ◽

Transient Wave

This paper proposes new frequency dependence for the empirical formulas presently used to determine wave energy dissipation in ocean wave models. Using an energy focusing technique, several unidirectional transient wave trains were generated. Each of the transient wave train contained an isolated plunging or spilling breaker. By comparing the energy spectra of free-wave components before and after breaker it was found that: 1)the energy loss as function of frequency is almost exclusively from wave components at frequencies higher than the spectral peak frequency; 2)although the energy density of the wave components near the peak frequency are the largest, they do not significantly gain or lose energy after breaking; and 3)wave components of frequencies significantly below or near the peak frequency gain a small portion (about 12%) of energy lost by the high-frequency waves. The empirical formulas presently used to determine white-capping dissipation (Komen et al. 1994; Tolman and Chalikov 1996; Booij 1999) do not agree with the above spectral distribution of energy dissipation. Analysis of the dissipation distribution obtained by Meza et al. (2000), suggest that the dependence of the dissipation rate on the frequency should be described by, (ωωp)(1−(ωωp)E(ω), where ω is the wave frequency, ωp is the spectral peak frequency and E(ω) is the energy density spectrum. An energy dissipation source function with such a frequency dependence is being implemented and tested in a third generation wind wave model.

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Testing and verifying the wind wave model with an optimized source function

Oceanology ◽

10.1134/s0001437008010025 ◽

2008 ◽

Vol 48 (1) ◽

pp. 7-14 ◽

Cited By ~ 6

Author(s):

V. G. Polnikov ◽

V. I. Dymov ◽

T. A. Pasechnik ◽

I. V. Lavrenov ◽

Z. K. Abuzyarov ◽

...

Keyword(s):

Source Function ◽

Wind Wave ◽

Wave Model

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Real merits of the wind wave model with an optimized source function

Doklady Earth Sciences ◽

10.1134/s1028334x07090188 ◽

2007 ◽

Vol 417 (2) ◽

pp. 1375-1379 ◽

Cited By ~ 4

Author(s):

V. G. Polnikov ◽

V. I. Dymov ◽

T. A. Pasechnik ◽

I. V. Lavrenov ◽

Yu. N. Abuzyarov

Keyword(s):

Source Function ◽

Wind Wave ◽

Wave Model

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Features of the atmospheric boundary layer block for three versions of the WAM wind wave model

Izvestiya Atmospheric and Oceanic Physics ◽

10.1134/s000143381606013x ◽

2016 ◽

Vol 52 (6) ◽

pp. 659-666

Author(s):

V. G. Polnikov ◽

F. A. Pogarskii

Keyword(s):

Boundary Layer ◽

Atmospheric Boundary Layer ◽

Wind Wave ◽

Wave Model

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WAVE CLIMATE OF THE BLACK SEA’S COASTAL WATERS DURING THE LAST THREE DECADES

Proceedings of International Conference "Managinag risks to coastal regions and communities in a changinag world" (EMECS'11 - SeaCoasts XXVI) ◽

10.31519/conferencearticle_5b1b943584ab71.87772537 ◽

2017 ◽

Author(s):

Fedor Gippius ◽

Stanislav Myslenkov ◽

Elena Stoliarova ◽

...

Keyword(s):

Wind Speed ◽

Cell Size ◽

Coastal Waters ◽

Wind Wave ◽

Spatial Scales ◽

Wave Model ◽

Wave Climate ◽

Computational Grid ◽

Coastal Areas ◽

Wave Parameters

This study is focused on the alterations and typical features of the wind wave climate of the Black Sea’s coastal waters since 1979 till nowadays. Wind wave parameters were calculated by means of the 3rd-generation numerical spectral wind wave model SWAN, which is widely used on various spatial scales – both coastal waters and open seas. Data on wind speed and direction from the NCEP CFSR reanalysis were used as forcing. The computations were performed on an unstructured computational grid with cell size depending on the distance from the shoreline. Modeling results were applied to evaluate the main characteristics of the wind wave in various coastal areas of the sea.

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