Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2829-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2829-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Implementation of additional spectral wave field exchanges in a three-dimensional wave–current coupled WAVEWATCH-III (version 6.07) and CROCO (version 1.2) configuration: assessment of their implications for macro-tidal coastal hydrodynamics
Gaetano Porcile
CORRESPONDING AUTHOR
Laboratoire Morphodynamique Continentale et Côtière (M2C), Normandie Univ., UNICAEN, UNIROUEN, CNRS, M2C, 14000 Caen, France
Anne-Claire Bennis
Laboratoire Morphodynamique Continentale et Côtière (M2C), Normandie Univ., UNICAEN, UNIROUEN, CNRS, M2C, 14000 Caen, France
Martial Boutet
Laboratoire Morphodynamique Continentale et Côtière (M2C), Normandie Univ., UNICAEN, UNIROUEN, CNRS, M2C, 14000 Caen, France
Sophie Le Bot
Laboratoire Morphodynamique Continentale et Côtière (M2C), Normandie Univ., UNIROUEN, UNICAEN, CNRS, M2C, 76000 Rouen, France
Franck Dumas
Shom, Brest, France
Swen Jullien
Ifremer, Univ. Brest, CNRS, IRD, LOPS, IUEM, 29280, Plouzané, France
Related authors
No articles found.
Sébastien Masson, Swen Jullien, Eric Maisonnave, David Gill, Guillaume Samson, Mathieu Le Corre, and Lionel Renault
Geosci. Model Dev., 18, 1241–1263, https://doi.org/10.5194/gmd-18-1241-2025, https://doi.org/10.5194/gmd-18-1241-2025, 2025
Short summary
Short summary
This article details a new feature we implemented in the popular regional atmospheric model WRF. This feature allows for data exchange between WRF and any other model (e.g. an ocean model) using the coupling library Ocean–Atmosphere–Sea–Ice–Soil Model Coupling Toolkit (OASIS3-MCT). This coupling interface is designed to be non-intrusive, flexible and modular. It also offers the possibility of taking into account the nested zooms used in WRF or in the models with which it is coupled.
Roxane Tzortzis, Andrea M. Doglioli, Monique Messié, Stéphanie Barrillon, Anne A. Petrenko, Lloyd Izard, Yuan Zhao, Francesco d'Ovidio, Franck Dumas, and Gérald Gregori
Biogeosciences, 20, 3491–3508, https://doi.org/10.5194/bg-20-3491-2023, https://doi.org/10.5194/bg-20-3491-2023, 2023
Short summary
Short summary
We studied a finescale frontal structure in order to highlight its influence on the dynamics and distribution of phytoplankton communities. We computed the growth rates of several phytoplankton groups identified by flow cytometry in two water masses separated by the front. We found contrasted phytoplankton dynamics on the two sides of the front, consistent with the distribution of their abundances. Our study gives new insights into the physical and biological coupling on a finescale front.
Alexandre Barboni, Solange Coadou-Chaventon, Alexandre Stegner, Briac Le Vu, and Franck Dumas
Ocean Sci., 19, 229–250, https://doi.org/10.5194/os-19-229-2023, https://doi.org/10.5194/os-19-229-2023, 2023
Short summary
Short summary
Mesoscale eddies are ubiquitous turbulent structures in the ocean, influencing the upper mixed layer. The mixed layer is the ocean surface layer mixed through air–sea exchanges. Using Argo profiling floats inside large Mediterranean anticyclones, we investigate the induced winter mixed-layer depth anomalies. Mixed-layer depth was observed to be greatly influenced by the eddy preexisting subsurface structure to which it possibly connects and can also create double-core anticyclones.
Sébastien Petton, Valérie Garnier, Matthieu Caillaud, Laurent Debreu, and Franck Dumas
Geosci. Model Dev., 16, 1191–1211, https://doi.org/10.5194/gmd-16-1191-2023, https://doi.org/10.5194/gmd-16-1191-2023, 2023
Short summary
Short summary
The nesting AGRIF library is implemented in the MARS3D hydrodynamic model, a semi-implicit, free-surface numerical model which uses a time scheme as an alternating-direction implicit (ADI) algorithm. Two applications at the regional and coastal scale are introduced. We compare the two-nesting approach to the classic offline one-way approach, based on an in situ dataset. This method is an efficient means to significantly improve the physical hydrodynamics and unravel ecological challenges.
Oriane Bruyère, Benoit Soulard, Hugues Lemonnier, Thierry Laugier, Morgane Hubert, Sébastien Petton, Térence Desclaux, Simon Van Wynsberge, Eric Le Tesson, Jérôme Lefèvre, Franck Dumas, Jean-François Kayara, Emmanuel Bourassin, Noémie Lalau, Florence Antypas, and Romain Le Gendre
Earth Syst. Sci. Data, 14, 5439–5462, https://doi.org/10.5194/essd-14-5439-2022, https://doi.org/10.5194/essd-14-5439-2022, 2022
Short summary
Short summary
From 2014 to 2021, extensive monitoring of hydrodynamics was deployed within five contrasted lagoons of New Caledonia during austral summers. These coastal physical observations encompassed unmonitored lagoons and captured eight major atmospheric events ranging from tropical depression to category 4 cyclone. The main objectives were to characterize the processes controlling hydrodynamics of these lagoons and record the signature of extreme events on land–lagoon–ocean continuum functioning.
Roxane Tzortzis, Andrea M. Doglioli, Stéphanie Barrillon, Anne A. Petrenko, Francesco d'Ovidio, Lloyd Izard, Melilotus Thyssen, Ananda Pascual, Bàrbara Barceló-Llull, Frédéric Cyr, Marc Tedetti, Nagib Bhairy, Pierre Garreau, Franck Dumas, and Gérald Gregori
Biogeosciences, 18, 6455–6477, https://doi.org/10.5194/bg-18-6455-2021, https://doi.org/10.5194/bg-18-6455-2021, 2021
Short summary
Short summary
This work analyzes an original high-resolution data set collected in the Mediterranean Sea. The major result is the impact of a fine-scale frontal structure on the distribution of phytoplankton groups, in an area of moderate energy with oligotrophic conditions. Our results provide an in situ confirmation of the findings obtained by previous modeling studies and remote sensing about the structuring effect of the fine-scale ocean dynamics on the structure of the phytoplankton community.
Cited articles
Acker, F., Borges, R. d. R., and Costa, B.: An improved WENO-Z scheme, J. Comput. Phys., 313, 726–753, 2016. a
Agrawal, Y., Terray, E., Donelan, M., Hwang, P., Williams III, A., Drennan, W. M., Kahma, K., and Krtaigorodskii, S.: Enhanced dissipation of kinetic energy beneath surface waves, Nature, 359, 219–220, 1992. a
Aiki, H. and Greatbatch, R. J.: Thickness-Weighted Mean Theory for the Effect of Surface Gravity Waves on Mean Flows in The Upper Ocean, J. Phys. Oceanogr., 42, 725–747, 2012. a
Aiki, H. and Greatbatch, R. J.: The vertical structure of the surface wave radiation stress for circulation over a sloping bottom as given by thickness-weighted-mean theory, J. Phys. Oceanogr., 43, 149–164, 2013. a
Airy, G. B.: Tides and waves, in: Encyclopædia Metropolitana, edited by: Smedley, E., Rose, H. J., and Rose, H. J.: Encyclopaedia Metropolitana, Mixed Sciences, 3, 1845. a
Ardhuin, F., O'reilly, W., Herbers, T., and Jessen, P.: Swell transformation across the continental shelf. Part I: Attenuation and directional broadening, J. Phys. Oceanogr., 33, 1921–1939, 2003. a
Ardhuin, F., Rascle, N., and Belibassakis, K. A.: Explicit wave-averaged primitive equations using a Generalized Lagrangian Mean, Oceanogr. Meteorol., 20, 35–60, 2008. a
Ardhuin, F., Rogers, E., Babanin, A., Filipot, J.-F., Magne, R., Roland, A., van der Westhuysen, A., Queffeulou, P., Lefevre, J.-M., Aouf, L., and Collard, F.: Semi-empirical dissipation source functions for wind-wave models: part I, definition, calibration and validation, J. Phys. Oceanogr., 40, 1917–1941, 2010. a, b
Ardhuin, F., Roland, A., Dumas, F., Bennis, A.-C., Sentchev, A., Forget, P., Wolf, J., Girard, F., Osuna, P., and Benoit, M.: Numerical wave modeling in conditions with strong currents: Dissipation, refraction, and relative wind, J. Phys. Oceanogr., 42, 2101–2120, 2012. a
Auclair, F., Benshila, R., Bordois, L., Boutet, M., Brémond, M., Caillaud, M., Cambon, G., Capet, X., Debreu, L., Ducousso, N., Dufois, F., Dumas, F., Ethé, C., Gula, J., Hourdin, C., Illig, S., Jullien, S., Le Corre, M., Le Gac, S., Le Gentil, S., Lemarié, F., Marchesiello, P., Mazoyer, C., Morvan, G., Nguyen, C., Penven, P., Person, R., Pianezze, J., Pous, S., Renault, L., Roblou, L., Sepulveda, A., and Theetten, S.: Coastal and Regional Ocean COmmunity model (1.3), Zenodo [code], https://doi.org/10.5281/zenodo.7415343, 2022. a, b, c
Bennis, A.-C., Ardhuin, F., and Dumas, F.: On the coupling of wave and three-dimensional circulation models: Choice of theoretical framework, practical implementation and adiabatic tests, Oceanogr. Meteorol., 40, 260–272, 2011. a
Bennis, A.-C., Dumas, F., Ardhuin, F., and Blanke, B.: Mixing parameterization: Impacts on rip currents and wave set-up, Ocean Eng., 84, 213–227, 2014. a
Bennis, A.-C., Furgerot, L., Du Bois, P. B., Dumas, F., Odaka, T., Lathuiliere, C., and Filipot, J.-F.: Numerical modelling of three-dimensional wave-current interactions in complex environment: application to Alderney Race, Appl. Ocean Res., 95, 102021, https://doi.org/10.1016/j.apor.2019.102021, 2020. a, b, c
Bennis, A.-C., Furgerot, L., Du Bois, P. B., Poizot, E., Méar, Y., and Dumas, F.: A winter storm in Alderney Race: Impacts of 3D wave–current interactions on the hydrodynamic and tidal stream energy, Appl. Ocean Rese., 120, 103009, https://doi.org/10.1016/j.apor.2021.103009, 2022. a, b
Breivik, Ø., Janssen, P. A., and Bidlot, J.-R.: Approximate Stokes drift profiles in deep water, J. Phys. Oceanogr., 44, 2433–2445, 2014. a
Calvino, C., Dabrowski, T., and Dias, F.: A study of the wave effects on the current circulation in Galway Bay, using the numerical model COAWST, Coastal Eng., 180, 104251, https://doi.org/10.1016/j.coastaleng.2022.104251, 2023. a
Canuto, V. M., Howard, A., Cheng, Y., and Dubovikov, M.: Ocean turbulence. Part I: One-point closure model–Momentum and heat vertical diffusivities, J. Phys. Oceanogr., 31, 1413–1426, 2001. a
Carniel, S., Warner, J. C., Chiggiato, J., and Sclavo, M.: Investigating the impact of surface wave breaking on modeling the trajectories of drifters in the northern Adriatic Sea during a wind-storm event, Ocean Model., 30, 225–239, 2009. a
Charru, F., Andreotti, B., and Claudin, P.: Sand ripples and dunes, Annu. Rev. Fluid Mech., 45, 469–493, 2013. a
Copernicus Marine Service, I. S. T. D. M. T.: Product User Manual for multiparameter Copernicus In Situ TAC (PUM), Copernicus Marine Service [data set], https://doi.org/10.48670/moi-00043, 2021. a
Couvelard, X., Lemarié, F., Samson, G., Redelsperger, J.-L., Ardhuin, F., Benshila, R., and Madec, G.: Development of a two-way-coupled ocean–wave model: assessment on a global NEMO(v3.6)–WW3(v6.02) coupled configuration, Geosci. Model Dev., 13, 3067–3090, https://doi.org/10.5194/gmd-13-3067-2020, 2020. a
Craig, P. D. and Banner, M. L.: Modeling wave-enhanced turbulence in the ocean surface layer, J. Phys. Oceanogr., 24, 2546–2559, 1994. a
Davies, A. M. and Lawrence, J.: Modeling the effect of wave–current interaction on the three-dimensional wind-driven circulation of the Eastern Irish Sea, J. Phys. Oceanogr., 25, 29–45, 1995. a
Deigaard, R., Fredsøe, J., and Hedegaard, I. B.: Suspended sediment in the surf zone, J. Waterw. Port C., 112, 115–128, 1986. a
Delpey, M., Ardhuin, F., Otheguy, P., and Jouon, A.: Effects of waves on coastal water dispersion in a small estuarine bay, J. Geophys. Res.-Oceans, 119, 70–86, 2014. a
Feddersen, F. and Trowbridge, J.: The effect of wave breaking on surf-zone turbulence and alongshore currents: A modeling study, J. Phys. Oceanogr., 35, 2187–2203, 2005. a
Groeneweg, J. and Klopman, G.: Changes of the mean velocity profiles in the combined wave–current motion described in a GLM formulation, J. Fluid Mech., 370, 271–296, 1998. a
Guérin, T., Bertin, X., Coulombier, T., and de Bakker, A.: Impacts of wave-induced circulation in the surf zone on wave setup, Ocean Model., 123, 86–97, 2018. a
Hanson, J. L. and Phillips, O. M.: Automated analysis of ocean surface directional wave spectra, J. Atmos. Ocean. Tech., 18, 277–293, 2001. a
Hasselmann, S., Hasselmann, K., Allender, J., and Barnett, T.: Computations and parameterizations of the nonlinear energy transfer in a gravity-wave specturm. Part II: Parameterizations of the nonlinear energy transfer for application in wave models, J. Phys. Oceanogr., 15, 1378–1391, 1985. a
Hilt, M., Auclair, F., Benshila, R., Bordois, L., Capet, X., Debreu, L., Dumas, F., Jullien, S., Lemarié, F., Marchesiello, P., Nguyen, C., and Roblou, L.: Numerical modelling of hydraulic control, solitary waves and primary instabilities in the Strait of Gibraltar, Ocean Model., 151, 101642, https://doi.org/10.1016/j.ocemod.2020.101642, 2020. a
Ioc-Unesco, I. and FAO, U.: A blueprint for ocean and coastal sustainability. IOC, 2011. a
Jones, N. L. and Monismith, S. G.: The influence of whitecapping waves on the vertical structure of turbulence in a shallow estuarine embayment, J. Phys. Oceanogr., 38, 1563–1580, 2008. a
Jullien, S., Caillaud, M., Benshila, R., Bordois, L., Cambon, G., Dumas, F., Le Gentil, S., Lemarié, F., Marchesiello, P., Theetten, S., Dufois, F., Le Corre, M., Morvan, G., Le Gac, S., Gula, J., and Pianezze, J.: CROCO Technical and Numerical Documentation (1.3), Zenodo [data set], https://doi.org/10.5281/zenodo.7400922, 2022. a, b
Kenyon, K. E.: Stokes drift for random gravity waves, J. Geophys. Res., 74, 6991–6994, 1969. a
Komen, G. J., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., and Janssen, P. A. E. M.: Dynamics and Modelling of Ocean Waves, Cambridge University Press, Cambridge, 1994. a
Kumar, N., Voulgaris, G., and Warner, J.: Implementation and modification of a three-dimensional radiation stress formulation for surf zone and rip-current applications, Coastal Eng., 58, 1097–1117, 2011. a
Lavaud, L., Bertin, X., Martins, K., Arnaud, G., and Bouin, M.-N.: The contribution of short-wave breaking to storm surges: The case Klaus in the Southern Bay of Biscay, Ocean Model., 156, 101710, https://doi.org/10.1142/9789811204487_0123, 2020. a
Lenain, L. and Pizzo, N.: The contribution of high-frequency wind-generated surface waves to the Stokes drift, J. Phys. Oceanogr., 50, 3455–3465, 2020. a
Leonard, B. P.: A stable and accurate convective modelling procedure based on quadratic upstream interpolation, Comput. Method. Appl. M., 19, 59–98, 1979. a
Liu, G., Kumar, N., Harcourt, R., and Perrie, W.: Bulk, spectral and deep water approximations for Stokes drift: Implications for coupled ocean circulation and surface wave models, J. Adv. Model. Earth Sy., 13, e2020MS002172, https://doi.org/10.1029/2020MS002172, 2021. a
Longuet-Higgins, M. S. and Stewart, R. W.: Radiation stresses and mass transport in surface gravity waves with application to `surf beats', J. Fluid Mech., 13, 481–504, 1962. a
Longuet-Higgins, M. S. and Stewart, R. W.: Radiation stress in water waves, a physical discussion with applications, Deep-Sea Res., 11, 529–563, 1964. a
Martins, K., Bertin, X., Mengual, B., Pezerat, M., Lavaud, L., Guérin, T., and Zhang, Y. J.: Wave-induced mean currents and setup over barred and steep sandy beaches, Ocean Model., 179, 102110, https://doi.org/10.1016/j.ocemod.2022.102110, 2022. a
Michaud, H., Marsaleix, P., Leredde, Y., Estournel, C., Bourrin, F., Lyard, F., Mayet, C., and Ardhuin, F.: Three-dimensional modelling of wave-induced current from the surf zone to the inner shelf, Ocean Sci., 8, 657–681, https://doi.org/10.5194/os-8-657-2012, 2012. a
Michel, C., Le Bot, S., Druine, F., Costa, S., Levoy, F., Dubrulle-Brunaud, C., and Lafite, R.: Stages of sedimentary infilling in a hypertidal bay using a combination of sedimentological, morphological and dynamic criteria (Bay of Somme, France), J. Maps, 13, 858–865, 2017. a
Moghimi, S., Klingbeil, K., Gräwe, U., and Burchard, H.: A direct comparison of a depth-dependent Radiation stress formulation and a Vortex force formulation within a three-dimensional coastal ocean model, Ocean Model., 70, 132–144, 2013. a
Nguyen, D. T., Jacobsen, N. G., and Roelvink, D.: Development and Validation of Quasi-Eulerian Mean Three-Dimensional Equations of Motion Using the Generalized Lagrangian Mean Method, J. Marine Sci. Eng., 9, 76, https://doi.org/10.3390/jmse9010076, 2021. a
Pezerat, M., Bertin, X., Martins, K., and Lavaud, L.: Cross-shore distribution of the wave-induced circulation over a dissipative beach under storm wave conditions, J. Geophys. Res.-Oceans, 127, e2021JC018108, https://doi.org/10.1029/2021JC018108, 2022. a
Phillips, O. M.: The dynamics of the upper ocean, Cambridge University Press, London, 336 p., 1977. a
Pianezze, J., Barthe, C., Bielli, S., Tulet, P., Jullien, S., Cambon, G., Bousquet, O., Claeys, M., and Cordier, E.: A New Coupled Ocean-Waves-Atmosphere Model Designed for Tropical Storm Studies: Example of Tropical Cyclone Bejisa (2013–2014) in the South-West Indian Ocean, J. Adv. Model. Earth Sy., 10, 801–825, 2018. a, b
Pineau-Guillou, L., Dumas, F., Theetten, S., Ardhuin, F., Lecornu, F., Le Roux, J.-F., Idier, D., Muller, H., and Pedreros, R.: PREVIMER: Improvement of surge, sea level and currents modelling, Mercator Ocean-Quarterly Newsletter, 29–38, https://marc.ifremer.fr/produits/atlas_de_composantes_harmoniques (last access: 10 April 2024), 2014. a
Porcile, G., Bennis, A.-C., Boutet, M., Le Bot, S., Dumas, F., and Jullien, S.: Bay of Somme coupled CROCO (v1.2) – WAVEWATCH-III (v6.07) configuration files used in Porcile et al. (2023), Zenodo [code], https://doi.org/10.5281/zenodo.8046629, 2023. a
Rao, Y. R., Murthy, C. R., and Sinha, P. C.: The Coastal Ocean, in: Modelling and Monitoring of Coastal Marine Processes, 3–10, Springer Netherlands, Dordrecht, ISBN 978-1-4020-8327-3, https://doi.org/10.1007/978-1-4020-8327-3_1, 2008. a
Rascle, N., Ardhuin, F., and Terray, E. A.: Drift and mixing under the ocean surface: A coherent one-dimensional description with application to unstratified conditions, J. Geophys. Res.-Oceans, 111, https://doi.org/10.1029/2005JC003004, 2006. a
Romero, L., Hypolite, D., and McWilliams, J. C.: Representing wave effects on currents, Ocean Model., 167, 101873, https://doi.org/10.1016/j.ocemod.2021.101873, 2021. a
Saha, S., Moorthi, S., Pan, H., Wu, X., Wang, J., Nadiga, S., Tripp, P., Kistler, R., Woollen, J., Behringer, D., Liu, H., Stokes, D., Grumbine, R., Gayno, G., Wang, J., Hou, Y., Chuang, H., Juang, H. H., Sela, J., Iredell, M., Treadon, R., Kleist, D., Delst, P. V., Keyser, D., Derber, J., Ek, M., Meng, J., Wei, H., Yang, R., Lord, S., van den Dool, H., Kumar, A., Wang, W., Long, C., Chelliah, M., Xue, Y., Huang, B., Schemm, J., Ebisuzaki, W., Lin, R., Xie, P., Chen, M., Zhou, S., Higgins, W., Zou, C., Liu, Q., Chen, Y., Han, Y., Cucurull, L., Reynolds, R. W., Rutledge, G., and Goldberg, M.: NCEP Climate Forecast System Reanalysis (CFSR) Monthly Products, January 1979 to December 2010, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory [data set], https://doi.org/10.5065/D6DN438J, 2010. a
Shom: MNT Bathymétrique de façade Atlantique (Projet Homonim), https://doi.org/10.17183/MNT_ATL100m_HOMONIM_WGS84, 2015. a
Smith, J. A.: Wave-Current Interactions In Finite-Depth, J. Phys. Oceanogr., 36, 1403–1419, 2006. a
Smith, S. D.: Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature, J. Geophys. Res.-Oceans, 93, 15467–15472, 1988. a
Soulsby, R. and Clarke, S.: Bed shear-stress under combined waves and currents on smooth and rough beds (TR 137), https://eprints.hrwallingford.com/558/1/TR137.pdf (last access: 15 April 2024), 2005. a
Stacey, M. W.: Simulation of the wind-forced near-surface circulation in Knight Inlet: A parameterization of the roughness length, J. Phys. Oceanogr., 29, 1363–1367, 1999. a
The WAVEWATCH III® Development Group (WW3DG): User manual and system documentation of WAVEWATCH III® version 6.07, NOAA/NWS/NCEP/MMAB [code], College Park, MD, USA, 465 pp. + Appendices, https://github.com/NOAA-EMC/WW3/releases/tag/6.07 (last access: 15 April 2024), 2019. a
Tolman, H. L.: Wind waves and moveable-bed bottom friction, J. Phys. Oceanogr., 24, 994–1009, 1994. a
Tolman, H. L.: Modeling wind waves using wavenumber-direction spectra and a variable wavenumber grid, Global Atmosphere and Ocean System, 6, 295–309, 1998. a
Tolman, H. L.: Distributed-memory concepts in the wave model WAVEWATCH III, Parallel Comput., 28, 35–52, 2002. a
Turki, I., Le Bot, S., Lecoq, N., Shafiei, H., Michel, C., Deloffre, J., Héquette, A., Sipka, V., and Lafite, R.: Morphodynamics of intertidal dune field in a mixed wave-tide environment: Case of Baie de Somme in Eastern English Channel, Marine Geol., 431, 106381, https://doi.org/10.1016/j.margeo.2020.106381, 2021. a
Uchiyama, Y., McWilliams, J. C., and Restrepo, J. M.: Wave-current interaction in nearshore shear instability analyzed with a vortex force formalism, J. Geophys. Res.-Oceans, 114, https://doi.org/10.1029/2008JC005135, 2009. a
Walstra, D., Roelvink, J., and Groeneweg, J.: Calculation of wave-driven currents in a 3D mean flow model, in: Coastal Engineering 2000, pp. 1050–1063, American Society of Civil Engineers, 2001. a
Webb, A. and Fox-Kemper, B.: Impacts of wave spreading and multidirectional waves on estimating Stokes drift, Ocean Model., 96, 49–64, 2015. a
Wilcox, D. C.: Turbulence modeling for CFD, vol. 2, DCW industries La Canada, CA, ISBN 9781928729082, 1998. a
Zhang, F. W., Drennan, W. M., Haus, B. K., and Graber, H. C.: On wind-wave-current interactions during the Shoaling Waves Experiment, J. Geophys. Res.-Oceans, 114, https://doi.org/10.1029/2008JC004998, 2009. a
Short summary
Here a new method of modelling the interaction between ocean currents and waves is presented. We developed an advanced coupling of two models, one for ocean currents and one for waves. In previous couplings, some wave-related calculations were based on simplified assumptions. Our method uses more complex calculations to better represent wave–current interactions. We tested it in a macro-tidal coastal area and found that it significantly improves the model accuracy, especially during storms.
Here a new method of modelling the interaction between ocean currents and waves is presented. We...