scholarly journals Analytically derived wind-wave directional spectrum part 2. Characteristics, comparison and verification of spectrum

1993 ◽  
Vol 49 (2) ◽  
pp. 149-172 ◽  
Author(s):  
Sheng-Chang Wen ◽  
Pei-Fang Guo ◽  
Da-Cuo Zhang ◽  
Chang-Long Guan ◽  
Hai-Gang Zhan
2015 ◽  
Vol 45 (10) ◽  
pp. 2484-2496 ◽  
Author(s):  
Fabien Leckler ◽  
Fabrice Ardhuin ◽  
Charles Peureux ◽  
Alvise Benetazzo ◽  
Filippo Bergamasco ◽  
...  

AbstractThe energy level and its directional distribution are key observations for understanding the energy balance in the wind-wave spectrum between wind-wave generation, nonlinear interactions, and dissipation. Here, properties of gravity waves are investigated from a fixed platform in the Black Sea, equipped with a stereo video system that resolves waves with frequency f up to 1.4 Hz and wavelengths from 0.6 to 11 m. One representative record is analyzed, corresponding to young wind waves with a peak frequency fp = 0.33 Hz and a wind speed of 13 m s−1. These measurements allow for a separation of the linear waves from the bound second-order harmonics. These harmonics are negligible for frequencies f up to 3 times fp but account for most of the energy at higher frequencies. The full spectrum is well described by a combination of linear components and the second-order spectrum. In the range 2fp to 4fp, the full frequency spectrum decays like f−5, which means a steeper decay of the linear spectrum. The directional spectrum exhibits a very pronounced bimodal distribution, with two peaks on either side of the wind direction, separated by 150° at 4fp. This large separation is associated with a significant amount of energy traveling in opposite directions and thus sources of underwater acoustic and seismic noise. The magnitude of these sources can be quantified by the overlap integral I(f), which is found to increase sharply from less than 0.01 at f = 2fp to 0.11 at f = 4fp and possibly up to 0.2 at f = 5fp, close to the 0.5π value proposed in previous studies.


1997 ◽  
Vol 119 (1) ◽  
pp. 70-72 ◽  
Author(s):  
H. Oliveira-Pires ◽  
F. Carvalho ◽  
T. Pontes

An efficient method has been developed to compute the wave conditions in sheltered areas from the open sea directional spectrum using a reverse tracing wave ray model with weighted spectral filtering. The results were verified for Porto Cachorro—Azores, surrounded by several islands with an intricate geometry, and for Sines, at the west coast of Portugal. The range of applicability of this type of ray model seems to lie at the transition between the open sea, well represented through large-scale wind-wave models, and the zones close to shore where shallow water wave breaking (not represented in the model) begins to play a dominant and decisive role.


1993 ◽  
Vol 49 (2) ◽  
pp. 131-147 ◽  
Author(s):  
Sheng-Chang Wen ◽  
Pei-Fang Guo ◽  
Da-Cuo Zhang

2014 ◽  
Vol 44 (6) ◽  
pp. 1582-1594 ◽  
Author(s):  
S. Y. Annenkov ◽  
V. I. Shrira

Abstract The authors consider the deviations of wave height statistics from Gaussianity, manifested in higher statistical moments of random wind-wave fields, namely, in the nonzero values of the skewness and the kurtosis. These deviations are examined theoretically under the standard set of assumptions used in the established statistical theory of water waves, in particular in the derivation of the Hasselmann kinetic equation. P. Janssen proposed integral representations of the skewness and the kurtosis in terms of multidimensional integrals of wave spectra. However, the use of these representations for broadband wind-wave fields proved to be challenging; it requires substantial computational resources, which is unsuitable for applications. Using specially designed parallel algorithms to evaluate the integrals, the authors provide a comprehensive picture of the behavior of the kurtosis and the skewness of wind waves in the multidimensional parameter space of the most commonly used Joint North Sea Wave Project (JONSWAP) parameterizations of wind-wave spectra. Except for very narrow angular distributions where the overall picture is qualitatively different, the behavior of the higher moments proved to be not sensitive to the particular form of the directional spectrum. On this basis for the broad angular spectra typical of the ocean, the study puts forward simple parameterizations of the skewness and the kurtosis in terms of the JONSWAP peakedness parameter γ and in terms of the inverse wave age. These parameterizations can be used in operational wave forecasting and other applications.


Author(s):  
Fedor Gippius ◽  
Fedor Gippius ◽  
Stanislav Myslenkov ◽  
Stanislav Myslenkov ◽  
Elena Stoliarova ◽  
...  

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.


Author(s):  
Alexander Myasoedov ◽  
Alexander Myasoedov ◽  
Sergey Azarov ◽  
Sergey Azarov ◽  
Ekaterina Balashova ◽  
...  

Working with satellite data, has long been an issue for users which has often prevented from a wider use of these data because of Volume, Access, Format and Data Combination. The purpose of the Storm Ice Oil Wind Wave Watch System (SIOWS) developed at Satellite Oceanography Laboratory (SOLab) is to solve the main issues encountered with satellite data and to provide users with a fast and flexible tool to select and extract data within massive archives that match exactly its needs or interest improving the efficiency of the monitoring system of geophysical conditions in the Arctic. SIOWS - is a Web GIS, designed to display various satellite, model and in situ data, it uses developed at SOLab storing, processing and visualization technologies for operational and archived data. It allows synergistic analysis of both historical data and monitoring of the current state and dynamics of the "ocean-atmosphere-cryosphere" system in the Arctic region, as well as Arctic system forecasting based on thermodynamic models with satellite data assimilation.


2021 ◽  
Vol 234 ◽  
pp. 109260
Author(s):  
Abdallah M. Ragab ◽  
Ahmed S. Shehata ◽  
A.H. Elbatran ◽  
Mohamed A. Kotb

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