North Sea Wave Analysis Using Data Assimilation and Mesoscale Model Forcing Winds
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 144, Issue 4
Abstract
This article explores the use of the ensemble Kalman filter technique to improve the accuracy of North Sea wave field analyses. A nonhydrostatic convective-permitting mesoscale model was used to provide high-resolution forcing winds. These were adjusted by assimilating measurements of offshore wave heights directly into the wave model state. The ensemble Kalman filter data assimilation was shown to be very efficient, leading (compared to the results without data assimilation) to large reductions (up to 60%) in the root-mean-square error of the offshore wave heights and other model state variables, also (up to 40%) at locations other than those of the observations used.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This work was supported by the European Union FP7 project MyWave (Grant 284455). The authors thank the anonymous reviewers for their helpful and constructive comments that greatly contributed to improving the originally submitted manuscript.
References
Alves, J.-H. G. M., et al. (2013). “The NCEP–FNMOC combined wave ensemble product: Expanding benefits of interagency probabilistic forecasts to the oceanic environment.” Bull. Am. Meteorol. Soc., 94(12), 1893–1905.
Aouf, L., Lefèvre, J. M., and Hauser, D. (2006). “Assimilation of directional wave spectra in the wave model WAM: An impact study from synthetic observations in preparation for the SWIMSAT satellite mission.” J. Atmos. Oceanic Technol., 23(3), 448–463.
Baas, P. (2014). “Final report of WP1 of the WTI2017-HB wind modelling project.” KNMI Scientific Rep. WR 2014-02, Royal Netherlands Meteorological Institute, De Bilt, Netherlands ⟨http://bibliotheek.knmi.nl/knmipubWR/WR2014-02.pdf⟩.
Booij, N., Ris, R. C., and Holthuijsen, L. H. (1999). “A third generation wave model for coastal regions: 1. Model description and validation.” J. Geophys. Res., 104(C4), 7649–7666.
Breivik, Ø., Mogensen, K., Bidlot, J.-R., Balmaseda, M. A., and Janssen, P. A. E. M. (2015). “Surface wave effects in the NEMO ocean model: Forced and coupled experiments.” J. Geo. Res. Oceans, 120(4), 2973–2992.
Cavaleri, L., et al. (2007). “Wave modelling—The state of the art.” Prog. Oceanogr., 75(4), 603–674.
Chen, H. S., Behringer, D., Burroughs, L. D., and Tolman, H. L. (2004). “A variational wave height data assimilation system for NCEP operational wave models.” Tech. Procedures Bull. Ser. MMAB-2004-04, National Centers for Environmental Prediction, Camp Springs, MD, p. 3.
Courtier, P., et al. (1998). “The ECMWF implementation of three dimensional variational assimilation (3D-Var). Part I: Formulation.” Q. J. R. Meteorolog. Soc., 124(550), 1783–1808.
ECMWF (European Centre for Medium-Range Weather Forecasts). (2011). IFS documentation—Cy37r2 operational implementation 18 May 2011 Part VII: ECMWF wave model ⟨https://www.ecmwf.int/en/elibrary/9242-part-vii-ecmwf-wave-model⟩.
Etala, P., and Echevarrıa, P. (2013). “Ensemble Kalman filter based data assimilation in wave models.” Proc., 13th Wave Workshop ⟨http://waveworkshop.org/13thWaves/Papers/Etala.pdf⟩.
Evensen, G. (2003). “The ensemble Kalman filter: Theoretical formulation and practical implementation.” Ocean Dyn., 53(4), 343–367.
Gautier, C., and Caires, S. (2015). “Operational wave forecasts in the southern North Sea.” E-proc., 36th IAHR World Congress, The Hague, Netherlands ⟨http://app.iahr2015.info/programma_details/3801⟩.
Greenslade, D. (2001). “The assimilation of ERS-2 significant wave height data in the Australian region.” J. Mar. Syst., 28(1–2), 141–160.
Hasselmann, K., Lionello, P., and Hasselmann, S. (1997). “An optimal interpolation scheme for the assimilation of spectral wave data.” J. Geophys. Res., 102(C7), 15823–15836.
Katsafados, P., Papadopoulos, A., Korres, G., and Varlas, G. (2016). “A fully coupled atmosphere-ocean wave modeling system for the Mediterranean Sea: Interactions and sensitivity to the resolved scales and mechanisms.” Geosci. Model Dev., 9(1), 161–173.
Komen, G. J., Cavaleri L., Donelan, M., Hasselmann, K., Hasselmann, S., and Janssen, P. A. E. M. (1994). Dynamics and modelling of ocean waves, Cambridge University Press, Cambridge, MA.
Lionello, P., Günther, H., and Janssen, P. A. E. M. (1992). “Assimilation of altimeter data in a global third generation wave model.” J. Geophys. Res., 97(C9), 14453–14474.
Marseille, G. J., and Stoffelen, A. (2017). “Toward scatterometer winds assimilation in the mesoscale HARMONIE model.” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 10(5), 2383–2393.
Olabarrieta, M., Warner, J. C., Armstrong, B., Zambon, J. B., and He, R. (2012). “Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system.” Ocean Modell., 43–44, 112–137.
OpenDA [Computer software]. Free Software Foundation, Boston, MA.
Portilla-Yandun, J., and Cavaleri, L. (2016). “On the specification of background errors for wave data assimilation systems.” J. Geophys. Res. Oceans, 121(1), 209–223.
Ricchi, A., et al. (2016). “On the use of a coupled ocean-atmosphere-wave model during an extreme cold air outbreak over the Adriatic Sea.” Atmos. Res., 172–173, 48–65.
Serpoushan, N., Zeinoddini, M., and Golestani, M. (2013). “An ensemble kalman filter data assimilation scheme for modeling the wave climate in Persian Gulf.” Proc., ASME 2013 32nd Int. Conf. on Ocean, Offshore and Arctic Engineering OMAE2013, ASME, Nantes, France.
SWAN [Computer software]. Delft University of Technology, Delft, Netherlands.
Van Nieuwkoop, J., Baas, P., Caires, S., and Groeneweg, J. (2015). “On the consistency of the drag between air and water in meteorological, hydrodynamic and wave models.” Ocean Dyn., 65(7), 1616–7341.
Voorrips, A. C., Heemink, A. W., and Komen, G. J. (1999). “Wave data assimilation with the Kalman filter.” J. Mar. Syst., 19(4), 267–291.
Voorrips, A. C., Makin, V. K., and Hasselmann, K. S. (1997). “Assimilation of wave spectra from pitch-and-roll buoys in a North Sea wave model.” J. Geophys. Res., 102(C3), 5829–5849.
Wahle, K., Staneva, J., and Guenther, H. (2015). “Data assimilation of ocean wind waves using Neural Networks. A case study for the German Bight.” Ocean Modell., 96(1), 117– 125.
Information & Authors
Information
Published In
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 144 • Issue 4 • July 2018
Copyright
© 2018 American Society of Civil Engineers.
History
Received: Dec 29, 2016
Accepted: Oct 9, 2017
Published online: Apr 23, 2018
Published in print: Jul 1, 2018
Discussion open until: Sep 23, 2018
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.