On the Growth of the Spectrum of a Wind Generated Sea According to a Modified Miles-Phillips Mechanism

Inoue, Tokujiro

doi:10.21236/ad0633612

Cited by 49 publications

(35 citation statements)

References 8 publications

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“…The application of CRAM and a smoothing then yields analyzed fields of U 1 9 . 5 , V 1 9 .5, from which, combined with the air-sea temperature The results of this study may be stated as iollows.…”

Section: Treatment Of Ship Reportsmentioning

confidence: 66%

Specification of the Wind Distribution in the Marine Boundary Layer for Wave Forecasting

Cardone¹

1969

149

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PrefaceThis techrical report describes research by Dr. Cardone that began in 1 966 and has been sponsored by three different contracts as its scope increased and as the many applications that it will have become apparent.The first application of this work is to use available data more intelligently in the development of numerical wave hindcasting and forecasting procedures. In 1964, a wave climatology for the North Atlantic was produced that used ship reports to generate the wind fields for the wave hindcasts. It took one half an hour on a CDC 1604 to generate the wind fields for every six hours for a year. Although the hindcasts gave quite good results, it was clear that higher resolution wind fields and a better theory for the winds in the planetary boundary layer would improve the quality of wave predictions. This report more than adequately makes up for the nalvet of previous wind field models in the planetary boundary layer.A second goal for this study was to aid in the development of the software to be used should radar scatterometry and passive microwave data become available from a spacecraft.The definition of the winds over the ocean depends on many factors. Work is actively in progress to combine the results of this paper with simulated data such as might be obtained from remote .sensing techniques so that an optimum analysis of the planetary boundary layer can be made. This report makes it possible to develop ways to use the widely scattered ship reports over the ocean obtained on a synoptic basis in an intelligent way for the extrapolation and interpolation of spacecraft data into areas not observed by ships.A numerical model of the North Atlantic Ocean is presently under development for the Office of Naval Research. For this model, the wind stress at the sea surface and the sensible and latent heat fluxes at the air sea boundary are needed. The procedures described in this report define the wind stress at the sea surface, the atmospheric stability and the air sea temperature differences on an oceanic scale.

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Section: Treatment Of Ship Reportsmentioning

confidence: 66%

Specification of the Wind Distribution in the Marine Boundary Layer for Wave Forecasting

Cardone¹

1969

149

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“…The first generation of physical spectral wave models were mainly based on decoupled wave dynamics (Pierson et al 1966;Inoue, 1967; Barnett, 1968;Ewing, 1971;Isozaki and Uji, 1973;Cardone et al 1976). …”

Section: Btmentioning

confidence: 99%

A Parametric Wind Wave Model for Arbitrary Water Depths

Graber

Madsen

1985

The Ocean Surface

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An extension of a deep water hybrid parametric wave model has been developed for arbitrary water depths. The windsea is described by the JONSWAP parameter set and by a directional parameter representing the mean direction of the windsea spectrum. This mean direction has been re-derived based on more general energy flux arguments. The windsea spectrum in finite depth is assumed to have a similarity shape which is related to the deep water energy spectrum by multiplying with a depth dependent transformation factor. This factor affects the spectral shape of the hi gh-frequency part which is proportional to f-5 in deep water and to f-in shallow water. The directional dependence of the spectrum is assumed to be cos 2 (6-60), centered around the mean wave direction. The windsea model explicitly accounts for finite depth effects such as refraction, shoaling and dissipation by bottom friction.Based on an energy flux transport equation, the full set of prognostic parameters is derived including finite depth effects. The equations of the prognostic variables are solved on a finite difference grid by means of the Lax-Wendroff method. Swell is treated in a decoupled spectral fashion. For simplicity all swell characteristics are considered straight and effects of refraction are disregarded. However, shoaling and dissipation of energy by bottom friction are included.The model has been applied to a deep water and finite depth case study. The deep water hindcast was performed for an extratropical cyclone in the Gulf of Alaska. Predicted significant wave heights and zero-crossing wave periods are compared with measurements from six stations in the Gulf of Alaska. The finite depth wave conditions are hindcasted for a complex frontal system off the North Carolina coast during ARSLOE. Predicted spectral wave parameters such as significant wave height, spectral peak frequency and mean wave direction are compared with observations from several different measurement techniques. From the same data set, observed wave spectra are compared with hindcasted model spectra. A discussion of the results for both applications is presented.

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“…It is thus possible that differences in the fully developed wave spectra between these two regions are due to differences in initial wave backgrounds, since non-linear wave-wave interactions (Hasselman et al 1973) are important in the transfer of energy across the spectrum. Inoue (1967) considered the development of a sea with an initial white noise (flat spectrum) background. He suggested that the fully developed state was reached more rapidly, and with flatter developing spectra, than in those areas with no initial wave energy.…”

Section: The Ocean Wave Spectrummentioning

confidence: 99%

Spectra of the fully developed wind‐generated ocean wave field west of central New Zealand

Chiswell

Kibblewhite

1981

New Zealand Journal of Marine and Freshwater Research

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On the Growth of the Spectrum of a Wind Generated Sea According to a Modified Miles-Phillips Mechanism

Cited by 49 publications

References 8 publications

Specification of the Wind Distribution in the Marine Boundary Layer for Wave Forecasting

Specification of the Wind Distribution in the Marine Boundary Layer for Wave Forecasting

A Parametric Wind Wave Model for Arbitrary Water Depths

Spectra of the fully developed wind‐generated ocean wave field west of central New Zealand

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