Relevant bibliographies by topics / Wind-waves

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Wind-waves'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Wind-waves"

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S.S.– DSc, Eshev, I. X. Gayimnazarov, А. R. Rakhimov, and Latipov Sh. A. "Generation of Wind Waves in Large Streams." International Journal of Psychosocial Rehabilitation 24, no. 1 (January 31, 2020): 518–25. http://dx.doi.org/10.37200/ijpr/v24i1/pr200157.

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Ryan, Marleigh Grayer, Yasushi Inoue, and James T. Araki. "Wind and Waves." World Literature Today 63, no. 3 (1989): 537. http://dx.doi.org/10.2307/40145521.

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Ogborn, Miles. "Wind and Waves." Slavery & Abolition 41, no. 3 (June 23, 2020): 669–76. http://dx.doi.org/10.1080/0144039x.2020.1784662.

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Kuznetsova, A., G. Baydakov, A. Dosaev, D. Sergeev, and Yu Troitskaya. "Wind Waves Modeling Under Hurricane Wind Conditions." Journal of Physics: Conference Series 1163 (February 2019): 012054. http://dx.doi.org/10.1088/1742-6596/1163/1/012054.

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Frigaard, Peter. "Wind generated ocean waves." Coastal Engineering 42, no. 1 (January 2001): 103. http://dx.doi.org/10.1016/s0378-3839(00)00061-2.

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Wiegel, R. L. "WIND WAVES AND SWELL." Coastal Engineering Proceedings 1, no. 7 (January 29, 2011): 1. http://dx.doi.org/10.9753/icce.v7.1.

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Winds blowing over the water surface generate waves. In general the higher the wind velocity, the larger the fetch over which it blows, and the longer it blows the higher and longer will be the average waves . Waves still under the action of the winds that created them are called wind waves, or a sea. They are forced waves rather than free waves. They are variable in their direction of advance (Arthur, 1949). They are irregular in the direction of propagation. The flow is rotational due to the shear stress of the wind on the water surface and it is quite turbulent as observations of dye in the water indicates. After the waves leave the generating area their characteristics become somewhat different, principally they are smoother, losing the rough appearance due to the disappearance of the multitude of smaller waves on top of the bigger ones and the whitecaps and spray. When running free of the storm the waves are known as swell. In Fig. 1 are shown some photographs taken in the laboratory of waves still rising under the action of wind and this same wave system after it has left the windy section of the wind-wave tunnel. It can be seen thati-the freely running swell has a smoother appearance than the waves in the windy section. The motion of the swell is nearly irrotational and nonturbulent, unless the swell runs into other regions where the water is in turbulent motion. Turbulence is a property of the fluid rather than of the wave motion. After the waves have travelled a distance from the generating area they have lost some energy due to air resistance, internal friction, and by large scale turbulent scattering if they run into other storm areas, and the rest of the energy has become spread over a larger area due to the dispersive and angular spreading characteristics of water gravity waves. All of these mechanisms lead to a decrease in energy density. Thus, the waves become lower in height. In addition, due to their dispersive characteristic the component wave periods tend to segregate in such a way that the longest waves lead the main body of waves and the shortest waves form the tail of the main body of waves. Finally, the swell may travel through areas where winds are present, adding new wind waves to old swell, and perhaps directly increasing or decreasing the size of the old swell.
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Havas, Magda, and David Colling. "Wind Turbines Make Waves." Bulletin of Science, Technology & Society 31, no. 5 (September 30, 2011): 414–26. http://dx.doi.org/10.1177/0270467611417852.

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Gough, Douglas. "Waves in the wind." Nature 376, no. 6536 (July 1995): 120–21. http://dx.doi.org/10.1038/376120a0.

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Naeser, Harald. "The Capillary Waves’ Contribution to Wind-Wave Generation." Fluids 7, no. 2 (February 10, 2022): 73. http://dx.doi.org/10.3390/fluids7020073.

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Published theories and observations have shown that dissipation of gravity waves implies frequency downshifting of wave energy. Hence, for wind-waves, the wind energy input to the highest frequencies is of special interest. Here it is shown that this input is vital, because the direct wind energy input obtained by the air-pressure’s work on most gravity waves is slightly less than what the waves need to grow. Further, the wind’s input of the angular momentum that waves need to grow is found to be absent at most gravity wave frequencies. The capillary waves that appear at the surface of the sea when the wind is blowing solve these problems. To demonstrate this, an extension of linear wave theory is established to study possibilities and limitations for transfer of energy and angular momentum from the wind to waves through these frequencies. The theory describes regular, gravity–capillary waves with constant amplitude under laminar conditions. It includes surface tensions, viscosity, gravity and a wind-generated shear current, and shows that these waves—contrary to most gravity waves—receive more energy from the wind than they dissipate and angular momentum they cannot keep. Hence, the problem of the missing input of energy and angular momentum from wind to gravity waves is solved by transfers through the capillary waves. This implies that capillary waves are vital to obtain growing gravity waves.
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Husain, Nyla T., Tetsu Hara, and Peter P. Sullivan. "Wind Turbulence over Misaligned Surface Waves and Air–Sea Momentum Flux. Part I: Waves Following and Opposing Wind." Journal of Physical Oceanography 52, no. 1 (January 2022): 119–39. http://dx.doi.org/10.1175/jpo-d-21-0043.1.

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Abstract Air–sea momentum and scalar fluxes are strongly influenced by the coupling dynamics between turbulent winds and a spectrum of waves. Because direct field observations are difficult, particularly in high winds, many modeling and laboratory studies have aimed to elucidate the impacts of the sea state and other surface wave features on momentum and energy fluxes between wind and waves as well as on the mean wind profile and drag coefficient. Opposing wind is common under transient winds, for example, under tropical cyclones, but few studies have examined its impacts on air–sea fluxes. In this study, we employ a large-eddy simulation for wind blowing over steep sinusoidal waves of varying phase speeds, both following and opposing wind, to investigate impacts on the mean wind profile, drag coefficient, and wave growth/decay rates. The airflow dynamics and impacts rapidly change as the wave age increases for waves following wind. However, there is a rather smooth transition from the slowest waves following wind to the fastest waves opposing wind, with gradual enhancement of a flow perturbation identified by a strong vorticity layer detached from the crest despite the absence of apparent airflow separation. The vorticity layer appears to increase the effective surface roughness and wave form drag (wave attenuation rate) substantially for faster waves opposing wind. Significance Statement Surface waves increase friction at the sea surface and modify how wind forces upper-ocean currents and turbulence. Therefore, it is important to include effects of different wave conditions in weather and climate forecasts. We aim to inform more accurate forecasts by investigating wind blowing over waves propagating in the opposite direction using large-eddy simulation. We find that when waves oppose wind, they decay as expected, but also increase the surface friction much more drastically than when waves follow wind. This finding has important implications for how waves opposing wind are represented as a source of surface friction in forecast models.
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Dissertations / Theses on the topic "Wind-waves"

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Abreu, Manuel P. "Kinematics under wind waves." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27115.

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Hurley, David Lee. "Wind waves and internal waves in Base Mine Lake." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62524.

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Syncrude's Base Mine Lake is the first commercial scale demonstration of end pit lake technology in the Canadian Oil Sands. Following its commissioning in 2012 significant efforts have been made to monitor and understand its evolution. Of particular interest is the impact of surface and internal waves on the resuspension of fluid fine tailings and the effect of hydrocarbons on surface wind wave formation and growth. In this study the first complete description of the wind and internal waves in Base Mine Lake is presented. Observations of surface wind waves were collected using two subsurface pressure gauges. Data revealed that wind waves in Base Mine Lake have short residence times and rarely generate bottom orbital velocities capable of resuspending fluid fine tailings. Additionally, numerical simulations of the wind waves in Base Mine Lake were performed with the SWAN model. Modeled wave heights were in good agreement with observations, and resuspension of fluid fine tailings was minimal even during the 10 year storm event. As the surface of Base Mine Lake contains a hydrocarbon film its impact on surface wind waves was investigated in the laboratory and field. It was found that the hydrocarbon film dampens high frequency wind waves and results in a slower growing wind wave field dominated by longer wavelengths. Additionally, the presence of hydrocarbons also increases the critical wind speed needed to initiate wave growth. From these findings it is postulated that the hydrocarbon film on Base Mine Lake acts to decrease the fluxes of momentum, gas, and heat. The internal waves in Base Mine Lake were simulated using Delft3D Flow. Simulated wave heights as large as 3 m were shown to oscillate for multiple days with little dampening, and despite the small surface area of Base Mine Lake (8 km²) the internal waves were significantly influenced by the Coriolis force. This influence was seen in the form of simulated Kelvin and Poincaré waves which resulted in complex circulation patterns within the lake. The findings presented here provide a first picture into the impacts of waves on the reclamation of Base Mine Lake.<br>Applied Science, Faculty of<br>Civil Engineering, Department of<br>Graduate
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Kukulka, Tobias. "The effect of breaking waves on a coupled model of wind and ocean surface waves." View online ; access limited to URI, 2006. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3248233.

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Kwon, Sun Hong. "Directional growth of wind generated waves." Diss., Virginia Polytechnic Institute and State University, 1986. http://hdl.handle.net/10919/49816.

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Kalmikov, Alexander G. "Modeling wind forcing in phase resolving simulation of nonlinear wind waves." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/57791.

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Thesis (S.M.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and the Woods Hole Oceanographic Institution), 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 148-152).<br>Wind waves in the ocean are a product of complex interaction of turbulent air flow with gravity driven water surface. The coupling is strong and the waves are non-stationary, irregular and highly nonlinear, which restricts the ability of traditional phase averaged models to simulate their complex dynamics. We develop a novel phase resolving model for direct simulation of nonlinear broadband wind waves based on the High Order Spectral (HOS) method (Dommermuth and Yue 1987). The original HOS method, which is a nonlinear pseudo-spectral numerical technique for phase resolving simulation of free regular waves, is extended to simulation of wind forced irregular broadband wave fields. Wind forcing is modeled phenomenologically in a linearized framework of weakly interacting spectral components of the wave field. The mechanism of wind forcing is assumed to be primarily form drag acting on the surface through wave-induced distribution of normal stress. The mechanism is parameterized in terms of wave age and its magnitude is adjusted by the observed growth rates. Linear formulation of the forcing is adopted and applied directly to the nonlinear evolution equations. Development of realistic nonlinear wind wave simulation with HOS method required its extension to broadband irregular wave fields. Another challenge was application of the conservative HOS technique to the intermittent non-conservative dynamics of wind waves. These challenges encountered the fundamental limitations of the original method. Apparent deterioration of wind forced simulations and their inevitable crash raised concerns regarding the validity of the proposed modeling approach. The major question involved application of the original HOS low-pass filtering technique to account for the effect of wave breaking. It was found that growing wind waves break more frequently and violently than free waves.<br>(cont.) Stronger filtering was required for stabilization of wind wave simulations for duration on the time scale of observed ocean evolution. Successful simulations were produced only after significant sacrifice of resolution bandwidth. Despite the difficulties our modeling approach appears to suffice for reproduction of the essential physics of nonlinear wind waves. Phase resolving simulations are shown to capture both - the characteristic irregularity and the observed similarity that emerges from the chaotic motions. Energy growth and frequency downshift satisfy duration limited evolution parameterizations and asymptote Toba similarity law. Our simulations resolve the detailed kinematics and the nonlinear energetics of swell, windsea and their fast transition under wind forcing. We explain the difference between measurements of initial growth driven by a linear instability mechanism and the balanced nonlinear growth. The simulations validate Toba hypothesis of wind-wave nonlinear quasi-equilibrium and confirm its function as a universal bound on combined windsea and swell evolution under steady wind.<br>by Alexander G. Kalmikov.<br>S.M.
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Power, Jonathan. "Human temperature regulation in wind and waves." Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/human-temperature-regulation-in-wind-and-waves(38d9b1df-8d85-431a-afc4-66d1a44aa4c8).html.

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Many international and national standards exist for the testing and certification of immersion suits. Some require the thermal protective properties of immersion suits to be tested with human volunteers in calm, circulating 2°C water. The knowledge gap that currently exists between the benign testing conditions used in international standards and specifications, and the harsh environments that an immersed individual find themselves in following a marine accident, could result in unexpectedly poor levels of performance, with fatalities occurring sooner than expected following accidental immersion. Study 1 determined the heat loss from the skin of volunteers in immersion suits and immersed in wind and waves. Twelve healthy participants (Age: 25.8 [5.9] years old; Mass: 81.7 [13.1]kg; Height: 176.2 [7.7]cm) performed four, one hour immersions in the following conditions: Calm water; Wind-only; Waves-only; and Wind + Waves. Compared to Calm (67.21 [4.70]W·m-2), all the other immersion conditions produced a significantly greater increase in mean skin heat flow (MSHF) (Wind: 79.60 [6.70]W·m-2; Waves: 78.8 [4.52]W·m-2; Wind + Waves: 92.00 [8.39]W·m-2). The Wind + Waves condition produced a significantly greater increase in MSHF compared to all other conditions. Study 2 built upon the findings of the first by investigating the extent to which human thermal responses were related to the severity of weather conditions. Twelve healthy males (Age: 23.9 [3.3] years old; Mass: 83.2 [4.9]kg; Height: 181.0 [4.9]cm) performed three, three hour immersions in the following conditions: Calm water; Weather 1; and Weather 2. Compared to the calm water condition (62.96 [2.98]W·m-2], both weather conditions produced a significantly greater increase in MSHF (Weather 1: 76.75 [6.26]W·m-2; Weather 2: 79.53 [6.24]W·m-2). There were no significant differences in the change in gastro-intestinal temperature (TGI) across immersion conditions (Calm: -0.10 [0.31]°C; Weather 1: -0.29 [0.30]°C; Weather 2: -0.20 [0.28]°C]. There were no significant differences in V · O2 across immersion conditions (Calm: 0.325 [0.054]L·min-1; Weather 1: 0.332 [0.108]L·min-1; Weather 2: 0.365 [0.080]L·min-1). Study 3 investigated the effect of simulated water ingress under an immersion suit on human thermal responses during immersions in varying weather conditions. Twelve healthy males (Age: 25.6 [5.6] years old; Mass: 82.7 [10.2]kg; Height: 181.0 [4.7]cm) performed three, three hour immersions in the same conditions as Study 2, but with 500mL of water underneath the immersion suit. Compared to the calm water condition (79.45 [9.19]W·m-2), both weather conditions produced a significantly greater increase in MSHF (Weather 1: 102.06 [11.98]W·m-2; Weather 2: 107.48 [3.63]W·m-2). There were no significant differences in the change in TGI (Calm: -0.35 [0.14]°C; Weather 1: -0.38 [0.15]°C; Weather 2: 0.29 [0.25]°C) or V · O2 (Calm: 0.449 [0.054]L·min-1; Weather 1: 0.503 [0.051]L·min-1; Weather 2: 0.526 [0.120]L·min-1) across conditions. Survival times were calculated for the participants of Studies 2 and 3. There was no difference in the predicted survival times for the Study 2 participants for both the calm (> 36 hours) and wind and wave conditions (> 36 hours). The predicted survival times for the participants of Study 3 were significantly lower in the turbulent conditions (16 hours) compared to calm (27 hours). The predicted survival times of the participants in turbulent conditions were up to half those calculated for calm water immersions. The results collected in Studies 2 and 3 were used to calculate the change in total insulation in varying conditions compared to being dry. Immersions in wind and waves will reduce immersion suit insulation by 27%; 500mL of water leakage will reduce it by 24%; wind, waves and 500mL of water combined will reduce it by 43%. The predicted amount of oxygen consumption (V · O2 P) to produce the amount of heat required to remain in thermal balance can be estimated by rearranging the equations used to calculate metabolic heat production and insulation. If heat loss exceeds the assumed maximum heat production of 206W·m-2, hypothermia will eventually develop. The point at which heat loss exceeds maximum heat production has been determined in a range of conditions. It is concluded that: immersions in wind and waves causes a significant increase in heat flow from the body compared to calm conditions. Testing individuals and immersion suits in conditions not representative of the area where they are to be used may, or may not, result in an over-estimation of performance depending on the capacity of an individual’s thermoregulatory system.
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Saxena, Gaurav. "Air flow separation over wind generated waves." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 235 p, 2007. http://proquest.umi.com/pqdweb?did=1251900711&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Smith, George Henry. "A laboratory study of wind generated waves." Thesis, Heriot-Watt University, 1985. http://hdl.handle.net/10399/1948.

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Walker, Wayne O. "Field measurements of local pier scour in a tidal inlet." Thesis, (10.49 MB), 1995. http://handle.dtic.mil/100.2/ADA303503.

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Thesis (M.S. in Civil Engineering)--University of Florida, December 1995.<br>"December 1995." Description based on title screen as viewed on February 8, 2010. DTIC Identifier(s): Scouring, Wind Waves, Sieve Analysis, Seiching. Includes bibliographical references (p. 139). Also available in print.
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Fuchs, David M. R. "2D spectral modeling of wind-waves on inland lakes." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0001/MQ45045.pdf.

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Books on the topic "Wind-waves"

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Lavrenov, Igor V. Wind-Waves in Oceans. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05146-7.

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Baker, Ron. Wind, waves, and weather. 3rd ed. Austin, Tex: The University of Texas at Austin, Petroleum Extension Service, 2004.

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Abreu, Manuel P. Kinematics under wind waves. Monterey, Calif: Naval Postgraduate School, 1989.

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Rick, Schafer, and Stafford Kim Robert, eds. Wind on the waves. Portland, Or: Graphic Arts Center Pub. Co., 1992.

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Yasushi, Inoue. Wind and waves: A novel. Honolulu: University of Hawaii Press, 1989.

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Komen, G. J., and W. A. Oost, eds. Radar Scattering from Modulated Wind Waves. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2309-6.

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Romuald, Szymkiewicz, ed. Hydrodynamika Zalewu Wiślanego: Praca zbiorowa. Warszawa: Wydawnictwa Politechniki Warszawskiej, 1992.

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Davidan, I. N. Vetrovoe volnenie v Mirovom okeane. Leningrad: Gidrometeoizdat, 1985.

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Paszkiewicz, Czesław. Falowanie wiatrowe Morza Bałtyckiego. Wrocław: Zakład Narodowy im. Ossolińskich, 1989.

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Rabinovich, A. B. Dlinnye gravitat͡s︡ionnye volny v okeane: Zakhvat, resonans, izluchenie. Sankt-Peterburg: Gidrometeoizdat, 1993.

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Book chapters on the topic "Wind-waves"

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Cavaleri, Luigi. "Wind Waves." In Encyclopedia of Lakes and Reservoirs, 916–20. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-1-4020-4410-6_251.

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Sorensen, Robert M. "Wind-Generated Waves." In Basic Coastal Engineering, 151–86. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-2665-7_6.

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Golitsyn, Georgy, and Costas Varotsos. "Sea Wind Waves." In The Stochastic Nature of Environmental Phenomena and Processes, 57–64. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77015-9_6.

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Toba, Y., H. Kawamura, and N. Ebuchi. "Strong Coupling of Wind and Wind Waves." In Breaking Waves, 165–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-84847-6_15.

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Jones, Ian S. F. "Turbulence Below Wind Waves." In The Ocean Surface, 437–42. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-015-7717-5_60.

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Olsen, Alexander Arnfinn. "Wind, depth and waves." In Core Principles of Maritime Navigation, 1–8. London: Routledge, 2022. http://dx.doi.org/10.1201/9781003291534-1.

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Gao, Ang, Xiufeng Wu, Shiqiang Wu, Hongpeng Li, Jiangyu Dai, and Fangfang Wang. "Study on Wind Waves Similarity and Wind Waves Spectrum Characteristics in Limited Waters." In Lecture Notes in Civil Engineering, 1220–35. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_107.

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AbstractWind waves is an important factor affecting navigation safety and water environment in limited waters such as lakes and bays. Wind wave spectrum represents the frequency domain features of wind waves and has always been the focus of research. Based on the field observation and flume experimental method, the system analysis of similarity of two kinds of situations, discussed nonlinear response of the relationship of the spectral shape parameter of balance field α, β and wind waves basic frequency between factors like wind speed, wind blowing fetch and water depth. By means of wind tunnel flume and prototype observation data of nonlinear regression analysis, The relation formulas of wind wave frequency prediction considering the comprehensive influence of wind speed, wind blowing fetch and water depth is established. Relevant research is of great significance for revealing the evolution characteristics of wind waves in limited waters and guiding navigation safety and water environment management.
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Lavrenov, Igor V. "Introduction." In Wind-Waves in Oceans, 1–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05146-7_1.

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Lavrenov, Igor V. "General Problem Formulation of Wind Wave Modelling in a Non-Uniform Ocean." In Wind-Waves in Oceans, 11–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05146-7_2.

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Lavrenov, Igor V. "Mathematical Simulation of Wave Propagation at Global Distances." In Wind-Waves in Oceans, 35–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05146-7_3.

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Conference papers on the topic "Wind-waves"

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Maravela, Gabriela Larisa, and Gheorge Lazaroiu. "Waves induced wind impact on Floating Offshore Wind Turbines (FOWTs) in Black Sea." In 2024 Advanced Topics on Measurement and Simulation (ATOMS), 431–34. IEEE, 2024. https://doi.org/10.1109/atoms60779.2024.10921573.

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van Vledder, G. Ph, and L. H. Holthuijsen. "Waves in Turning Wind Fields." In 21st International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1989. http://dx.doi.org/10.1061/9780872626874.044.

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Oughton, Sean. "Solar Wind Fluctuations: Waves and Turbulence." In SOLAR WIND TEN: Proceedings of the Tenth International Solar Wind Conference. AIP, 2003. http://dx.doi.org/10.1063/1.1618626.

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Tolman, Hendrik L. "Propagation of Wind Waves on Tides." In 21st International Conference on Coastal Engineering. New York, NY: American Society of Civil Engineers, 1989. http://dx.doi.org/10.1061/9780872626874.037.

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Yan, Yixin, Jiayun Gao, and Chaofeng Tong. "Wind Waves in East China Sea." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92535.

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To know more about the hydrodynamic environments either in extreme conditions or in normal conditions, numerical simulation becomes more important due to insufficient field data. For large open sea, numerical models based on momentum balanced equation as mild slope equation or Boussinesq equation seems to be impractical. The third generation spectral numerical model was used in this discussion WAVEWATCH and SWAN to forecast wave conditions. Each model itself was nested and offered boundary conditions for smaller scale computation. WAVEWATCH provided extern boundary conditions for SWAN model computations. So wave parameter of different scale could be described so to offer wave parameters for engineering concerning. At the same time, some characteristics of third generation spectral wave model were depicted. Input winds were from NCEP analyzed data and QSCAT data respectively. The comparisons of computation with these data would show the spectral model characteristics of typical dependence on the wind condition. The output of WAVEWATCH under cyclone was also discussed in the paper.
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Kerman, Bryan R. "Optical Spectrum of Breaking Wind Waves." In Meteorological Optics. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/mo.1986.fa3.

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The spectral radiance of breaking wind waves on an ocean or lake, commonly referred to as whitecaps, has been measured using a multi-spectral scanner mounted in an aircraft. At least seven optical windows extending from .57 to 1.64 μm were employed. The texture of the scene varies with the interrogating wavelength. Many narrow streaks become apparent in the near visible band at 1.64 μm than in the visible bands. Apart from a factor of at least 10 in radiance between the whitecaps and the background water, the breaking waves demonstrate a different spectral distribution. In addition, a change in sensitivity occurs in the spectral radiance of the whitecaps at a wavelength of about .8 μm in the oceanic cases and .65 μm in the fresh water cases which is not observed in the light from the background water. Areas identified as foam indicate a behaviour intermediate in intensity and spectral distribution between whitecaps and background. Several attempts to automatically categorize pixels according to their spectral, probabilistic and spatial characteristics will be described.
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SHIGA, MASAO, KEIJI NAKAI, TOSHIYUKI SAKAI, KAZUO NADAOKA, and CHUJI YAMAMOTO. "CHARACTERISTICS OF INFRAGRAVITY WAVES AROUND JAPAN IN RELATION TO WIND WAVES." In Proceedings of the 29th International Conference. World Scientific Publishing Company, 2005. http://dx.doi.org/10.1142/9789812701916_0099.

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Buti, B., and L. Nocera. "Chaotic Alfvén waves in the solar wind." In The solar wind nine conference. AIP, 1999. http://dx.doi.org/10.1063/1.58746.

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Manenti, S., and F. Petrini. "Dynamic Analysis of an Offshore Wind Turbine: Wind-Waves Nonlinear Interaction." In 12th Biennial International Conference on Engineering, Construction, and Operations in Challenging Environments; and Fourth NASA/ARO/ASCE Workshop on Granular Materials in Lunar and Martian Exploration. Reston, VA: American Society of Civil Engineers, 2010. http://dx.doi.org/10.1061/41096(366)184.

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Garmashov, Anton. "WIND WAVES CHARACTERISTICS OF THE KARKINIT BAY." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/31/s12.102.

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Reports on the topic "Wind-waves"

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Saffman, P. G. Effects of Long Waves on the Generation of Waves by Wind. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada325304.

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Papa, Michael J. Turbulent Structure Under Short Fetch Wind Waves. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ad1009191.

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Donelan, Mark A., and Brian K. Haus. Modulation of Short Wind Waves by Long Waves and Effects on Radar Reflectivity. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada629221.

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Young, Ian R., Michael L. Banner, and Mark M. Donelan. Source Term Balance for Finite Depth Wind Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada610001.

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Young, Ian R., Michael L. Banner, and Mark M. Donelan. Source Term Balance For Finite Depth Wind Waves. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada613279.

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Young, Ian R., Michael L. Banner, and Mark M. Donelan. Source Term Balance for Finite Depth Wind Waves. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada626694.

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Stanton, Timothy P. Observations of Velocity Fields Under Moderately Forced Wind Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada628815.

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Hwang, Paul A. Spatial Characteristics of Short Wind Waves in the Ocean. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada629077.

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Graber, Hans C., Mark A. Donelan, William M. Drennan, and Fred W. Dobson. Wind Input, Surface Dissipation and Directional Properties in Shoaling Waves. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada609929.

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Jahne, Bernd. Upper Meter Processes: Short Wind Waves, Surface Flow, and Microturbulence. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada628377.

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