Impact of swell on the wind-sea and resulting modulation of stress

被引:22
|
作者
Vincent, Charles L. [1 ,2 ]
Thomson, Jim [3 ]
Graber, Hans C. [1 ,2 ]
Collins, Clarence O., III [4 ]
机构
[1] Univ Miami, Ctr Southeastern Trop Adv Remote Sensing, Miami, FL 33136 USA
[2] Univ Miami, Dept Ocean Sci, Miami, FL 33136 USA
[3] Univ Washington, Appl Phys Lab, Seattle, WA 98105 USA
[4] US Army, Engn Res & Dev Ctr, Coastal & Hydraul Lab, Duck, NC USA
基金
美国国家科学基金会;
关键词
GRAVITY-WAVE SPECTRUM; ATMOSPHERIC BOUNDARY-LAYER; LINEAR ENERGY TRANSFER; EQUILIBRIUM RANGE; MOMENTUM FLUX; OCEAN; SURFACE; DISSIPATION; FORM; FLOW;
D O I
10.1016/j.pocean.2019.102164
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
Investigation of 37,106 ocean surface wave spectra from the Pacific, Atlantic Ocean, and Gulf of Mexico demonstrate that swell modulates the energy level of the high frequency tail of the wind-sea wave spectrum, altering sea surface roughness. With a mixture of sea and swell, the wind-sea part of spectra follows the well-known f(-4) (equilibrium range) and f(-5) (saturation range) power laws. Swell modulates the energy levels but does not change the power-law structure. For swell with minimal winds, the spectra follow the -4, - 5 power-law paradigm, but energy correlates to swell steepness not wind speed. Swell shifts the transition between the two subranges towards lower frequencies. For sea-swell mixtures, a modulation factor lambda is proposed that depends on wind speed and swell steepness which allows parameterization of the spectral tail. Comparison of large swell with little wind to wind-sea spectra of same height and period, indicates that there is little difference in spectral shape and suggests that the Hasselmann S(ni )source term is likely the mechanism by which energy is transferred into the wind-sea tail causing the modulation. Analysis of 33,000 + directional spectra at Ocean Station Papa shows that the mean direction for the wind-sea high frequency tail is strongly correlated to wind direction, no matter the swell direction or steepness or level of swell dominance. An equation for the friction velocity of a sea state with swell (u(*s)) is developed, u(*s) = lambda(1/2)u(*)(0) where u(*)(0) is the friction velocity in the absence of swell, by neglect of the direct swell impact. Noting that this is only a partial estimate of the total measured stress, the prediction is evaluated for 3,000 + observed spectra yielding a correlation of 0.91 suggesting that it may be of consequence. Observations of u(*)/u(*0 )suggest a dependence with swell steepness that is similar to that predicted by lambda(1)(/2). At low winds, lambda(1)(/2) overestimates the stress, but noting that it was derived absent the components from the swell frequencies. In the tail, the momentum transport is downward, while in the swell the transport is predominantly upward, suggests a possible correction for lambda(1)(/2). The case of a swell generated wind is discussed.
引用
收藏
页数:30
相关论文
共 50 条
  • [21] Global surface wave drift climate from ERA-40: the contributions from wind-sea and swell
    Carrasco, Ana
    Semedo, Alvaro
    Isachsen, Pal Erik
    Christensen, Kai Hakon
    Saetra, Oyvind
    OCEAN DYNAMICS, 2014, 64 (12) : 1815 - 1829
  • [22] Wellhead fatigue analysis considering the effect of wind-sea and swell waves by using Univariate Dimension Reduction Method
    Ruschel, Augusto
    Silva Dantas, Claudio Marcio
    Mendes de Sousa, Fernando Jorge
    Simao, Marina Leivas
    Sudati Sagrilo, Luis Volnei
    Percy, Joseir Gandra
    Oliveira, Felipe Lima
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2021, 206
  • [23] Sea surface wind speed and sea state retrievals from dual-frequency altimeter and its preliminary application in global view of wind-sea and swell distributions
    Li, Shuiqing
    Shen, Hui
    Hou, Yijun
    He, Yijun
    Bi, Fan
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 39 (10) : 3076 - 3093
  • [24] Influence of climate variability on wind-sea and swell wave height extreme over the Indo-Pacific Ocean
    Kumar, Prashant
    Sardana, Divya
    Kaur, Sukhwinder
    Remya, P. G.
    Rajni
    Weller, Evan
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2022, 42 (12) : 6183 - 6203
  • [25] Global surface wave drift climate from ERA-40: the contributions from wind-sea and swell
    Ana Carrasco
    Alvaro Semedo
    Pål Erik Isachsen
    Kai Håkon Christensen
    Øyvind Saetra
    Ocean Dynamics, 2014, 64 : 1815 - 1829
  • [26] Simulated Global Swell and Wind-Sea Climate and Their Responses to Anthropogenic Climate Change at the End of the Twenty-First Century
    Fan, Yalin
    Lin, Shian-Jiann
    Griffies, Stephen M.
    Hemer, Mark A.
    JOURNAL OF CLIMATE, 2014, 27 (10) : 3516 - 3536
  • [27] ON THE EXISTENCE OF A FULLY-DEVELOPED WIND-SEA SPECTRUM
    KOMEN, GJ
    HASSELMANN, S
    HASSELMANN, K
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 1984, 14 (08) : 1271 - 1285
  • [28] BOUNDARY-LAYER MODEL RESULTS FOR WIND-SEA GROWTH
    BURGERS, G
    MAKIN, VK
    JOURNAL OF PHYSICAL OCEANOGRAPHY, 1993, 23 (02) : 372 - 385
  • [29] Nearshore Waves and Littoral Drift Along a Micro-Tidal Wave-Dominated Coast Having Comparable Wind-Sea and Swell Energy
    George, Jesbin
    Kumar, V. Sanil
    Gowthaman, R.
    Singh, Jai
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (01)
  • [30] Long-term fatigue analysis of mooring lines considering wind-sea and swell waves using the Univariate Dimension-Reduction Method
    Calderon Ibarra, Miguel Alfonso
    Simao, Marina Leivas
    Videiro, Paulo Mauricio
    Sudati Sagrilo, Luis Volnei
    APPLIED OCEAN RESEARCH, 2022, 118