Numerical modeling of wind waves with energy input and dissipation
https://doi.org/10.59887/2073-6673.2025.19(1)-3
EDN: kluskm
Abstract
The paper addresses a critical challenge in wind wave modeling — the need for accurate representation of energy input from wind and wave energy dissipation. It is emphasized that reliable incorporation of these processes is essential for improving the accuracy of operational wave forecasting models and for assessing risks associated with extreme wave events. The study introduces specific parameterizations for energy input and dissipation, implemented within the three-dimensional potential wave model TriDWave, which is based on nonlinear Euler equations in a periodic domain. Energy input is computed using a modified Miles theory, while dissipation is modeled via an operator triggered in near-breaking wave regions, facilitating rapid surface smoothing. Long-term numerical simulations demonstrate that incorporating these parameterizations enables realistic modeling of wave field evolution under steady wind forcing, including the reproduction of total energy growth, spectral peak downshift, and the formation of waves with characteristic vertical and horizontal asymmetry. The presented approach establishes a foundation for developing more refined physical parameterizations in wave models and contributes to the creation of reliable wind wave forecasting systems.
Keywords
About the Authors
D. V. ChalikovRussian Federation
D. V. Chalikov
36 Nakhimovsky Prosp., Moscow, 117997
Victoria 3010, Australia
K. V. Fokina
Russian Federation
K. V. Fokina
36 Nakhimovsky Prosp., Moscow, 117997
References
1. Chalikov D. Numerical modeling of sea waves. Springer; 2016. 330 p. https://doi.org/10.1007/978-3-319-32916-1
2. Ducrozet G, Bonnefoy F, Le Touzé D, Ferrant P. HOS-ocean: Open-source solver for nonlinear waves in open ocean based on High-Order Spectral method. Computer Physics Communications. 2016;203:245–254. https://doi.org/10.1016/j.cpc.2016.02.017
3. Chalikov DV, Fokina KV. Direct (phase-resolving) model of surface waves. Fundamental and Applied Hydrophysics. 2025;18(1):8–18. (In Russ.) https://doi.org/10.59887/2073-6673.2025.18(1)-1
4. Miles JW. On the generation of surface waves by shear flows. Journal of Fluid Mechanics. 1957;3(2):185–204. https://doi.org/10.1017/S0022112057000567
5. Snyder RL, Dobson FW, Elliott JA, Long RB. Array measurements of atmospheric pressure fluctuations above surface gravity waves. Journal of Fluid Mechanics. 1981;102:1–59. https://doi.org/10.1017/S0022112081002528
6. Janssen PAEM. Quasi-linear theory of wind-wave generation applied to wave forecasting. Journal of Physical Oceanography. 1991;21(11):1631–1642. https://doi.org/10.1175/1520-0485(1991)021<1631:QLTOWW>2.0.CO;2
7. Donelan MA, Babanin AV, Young IR, Banner ML. Wave‐follower field measurements of the wind-input spectral function. Part II: Parameterization of the wind input. Journal of Physical Oceanography. 2006;36(8):1672–1689. https://doi.org/10.1175/JPO2933.1
8. Komen GJ, Hasselmann S, Hasselmann K. On the existence of a fully developed wind-sea spectrum. Journal of Physical Oceanography. 1984;14:1271–1285. https://doi.org/10.1175/1520-0485(1984)014<1271:OTEOAF>2.0.CO;2
9. Battjes JA, Janssen JPFM. Energy loss and set-up due to breaking of random waves. Proceedings of the 16th International Conference on Coastal Engineering. 1978;569–587. https://doi.org/10.9753/icce.v16
10. Ardhuin F, Rogers E, Babanin A, et al. Semiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation. Journal of Physical Oceanography. 2010;40(9):1917–1941. https://doi.org/10.1175/2010JPO4324.1
11. Chalikov D, Rainchik S. Coupled Numerical Modelling of Wind and Waves and the Theory of the Wave Boundary Layer. Boundary-Layer Meteorology. 2010;138:1–41. https://doi.org/10.1007/s10546-010-9543-7
12. Xiao W, Liu Y, Wu G, Yue DKP. Rogue wave occurrence and dynamics by direct simulations of nonlinear wave-field evolution. Journal of Fluid Mechanics. 2013;720:357–392. https://doi.org/10.1017/jfm.2013.37
13. Dommermuth DG, Yue DKP. A high-order spectral method for the study of nonlinear gravity waves. Journal of Fluid Mechanics. 1987;184:267–288.
14. Korotkevich A, Pushkarev A, Resio D, Zakharov V. Numerical verification of the weak turbulent model for swell evolution. European Journal of Mechanics — B/Fluids. 2007;27:361–387. https://doi.org/10.1016/j.euromechflu.2007.08.004
15. Chalikov D. Numerical modeling of surface wave development under the action of wind. Ocean Science. 2018;14:453– 470. https://doi.org/10.5194/os-14-453-2018
16. Hasselmann K, Barnett TP, Bouws E, et al. Measurements of wind-wave growth and swell decay during the Joint Sea Wave Project (JONSWAP). Ergaenzungsheft zur Deutschen Hydrographischen Zeitschrift Reihe A. 1973; A8:1–95.
17. Chalikov D. Freak waves: their occurrence and probability. Physics of Fluids. 2009;21(7):076602. https://doi.org/10.1063/1.3175713
18. Chalikov D, Babanin AV. Nonlinear sharpening during superposition of surface waves. Ocean Dynamics. 2016;66:931– 937. https://doi.org/10.1007/s10236-016-0965-8
Review
For citations:
Chalikov D.V., Fokina K.V. Numerical modeling of wind waves with energy input and dissipation. Fundamental and Applied Hydrophysics. 2026;19(1):45-58. (In Russ.) https://doi.org/10.59887/2073-6673.2025.19(1)-3. EDN: kluskm
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