Skip to main content Accesibility Help
Dynamics and Modelling of Ocean Waves
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 494
  • Cited by
    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Wiehle, Stefan Pleskachevsky, Andrey and Gebhardt, Claus 2019. Automatic bathymetry retrieval from SAR images. CEAS Space Journal,

    Wang, Nan Qiao, Lulu Li, Guangxue Zhong, Yi Song, Dehai Ding, Dong Gao, Fei and Ji, Fengying 2019. Numerical Study on Seasonal Transportation of the Suspended Sediments in the Modern Yellow River Mouth Effected by the Artificial Water and Sediment Regulation. Journal of Ocean University of China, Vol. 18, Issue. 1, p. 20.

    Sharmila, N. Venkatachalapathy, R. and Mugilarasan, M. 2019. Proceedings of the Fourth International Conference in Ocean Engineering (ICOE2018). Vol. 23, Issue. , p. 111.

    Ravdas, Michalis Zacharioudaki, Anna and Korres, Gerasimos 2018. Implementation and validation of a new operational wave forecasting system of the Mediterranean Monitoring and Forecasting Centre in the framework of the Copernicus Marine Environment Monitoring Service. Natural Hazards and Earth System Sciences, Vol. 18, Issue. 10, p. 2675.

    Grieco, Matthew B. and DeGaetano, Arthur T. 2018. A climatology of extreme wave height events impacting eastern Lake Ontario shorelines. Theoretical and Applied Climatology,

    Golitsyn, G. S. 2018. Laws of Random Walks Derived by A.N. Kolmogorov in 1934. Russian Meteorology and Hydrology, Vol. 43, Issue. 3, p. 135.

    KAMRANZAD, Bahareh and MORI, Nobuhito 2018. Regional Wave Climate Projection Based on Super-High-Resolution MRI-AGCM3.2S, Indian Ocean. Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering), Vol. 74, Issue. 2, p. I_1351.

    Polnikov, V. G. 2018. The Role of Evolution Mechanisms in the Formation of a Wind-Wave Equilibrium Spectrum. Izvestiya, Atmospheric and Oceanic Physics, Vol. 54, Issue. 4, p. 394.

    Lavidas, George and Venugopal, Vengatesan 2018. Prospects and applicability of wave energy for South Africa. International Journal of Sustainable Energy, Vol. 37, Issue. 3, p. 230.

    Osborne, Alfred R. Resio, Donald T. Costa, Andrea Ponce de León, Sonia and Chirivì, Elisabetta 2018. Highly nonlinear wind waves in Currituck Sound: dense breather turbulence in random ocean waves. Ocean Dynamics,

    Tuomi, Laura Vähä-Piikkiö, Olga Alenius, Pekka Björkqvist, Jan-Victor and Kahma, Kimmo K. 2018. Surface Stokes drift in the Baltic Sea based on modelled wave spectra. Ocean Dynamics, Vol. 68, Issue. 1, p. 17.

    Chris Lakhan, V. 2018. Encyclopedia of Coastal Science. p. 1.

    Nekrasov, Alexey Gamcová, Mária Kurdel, Pavol and Labun, Ján 2018. On off-nadir wind retrieval over the sea surface using APR-2 or similar radar geometry. International Journal of Remote Sensing, Vol. 39, Issue. 18, p. 5934.

    Umesh, P. A. Bhaskaran, Prasad K. Sandhya, K. G. and Nair, T. M. Balakrishnan 2018. High Frequency Tail Characteristics in the Coastal Waters off Gopalpur, Northwest Bay of Bengal: A Nearshore Modelling Study. Pure and Applied Geophysics, Vol. 175, Issue. 6, p. 2351.

    van den Bremer, T. S. and Breivik, Ø. 2018. Stokes drift. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 376, Issue. 2111, p. 20170104.

    Katsafados, P. Varlas, G. Papadopoulos, A. Spyrou, C. and Korres, G. 2018. Assessing the Implicit Rain Impact on Sea State During Hurricane Sandy (2012). Geophysical Research Letters, Vol. 45, Issue. 21, p. 12,015.

    Feng, Xiangbo Haines, Keith and de Boisséson, Eric 2018. Coupling of surface air and sea surface temperatures in the CERA-20C reanalysis. Quarterly Journal of the Royal Meteorological Society, Vol. 144, Issue. 710, p. 195.

    Cavaleri, Luigi and Bertotti, Luciana 2018. Rain on Generative Seas. Geophysical Research Letters, Vol. 45, Issue. 14, p. 7049.

    Babanin, Alexander V. McConochie, Jason and Chalikov, Dmitry 2018. Winds near the Surface of Waves: Observations and Modeling. Journal of Physical Oceanography, Vol. 48, Issue. 5, p. 1079.

    Zieger, Stefan Greenslade, Diana and Kepert, Jeffrey D. 2018. Wave ensemble forecast system for tropical cyclones in the Australian region. Ocean Dynamics, Vol. 68, Issue. 4-5, p. 603.

  • G. J. Komen, Royal Dutch Meteorological Service (KNMI), de Bilt, Holland , L. Cavaleri, Istituto per lo Studio della Dinamica delle Grandi Masse, CNR, Venice , M. Donelan, Canadian Centre for Inland Waters, Burlington, Ontario , K. Hasselmann, Max-Planck-Institut für Meteorologie, Hamburg , S. Hasselmann, Max-Planck-Institut für Meteorologie, Hamburg , P. A. E. M. Janssen, European Centre for Medium-Range Weather Forecasts, Reading

Book description

Addresses both fundamental and applied aspects of ocean waves including the use of wave observations made from satellites. More specifically it describes the WAM model, its scientific basis, its actual implementation, and its many applications. This model has been developed by an international group (the Wave Modelling group), and is based on a detailed physical description of air/sea interactions. It is widely used for wave forecasting for meteorological and oceanographic purposes. The three sections of the volume describe the basic statistical theory and the relevant physical processes; the numerical model and its global and regional applications; and satellite observations, their interpretation and use in data assimilation. Written by leading experts, it is a comprehensive guide and reference for researchers and advanced students in physical oceanography, meteorology, fluid dynamics, coastal engineering and physics.


‘This is an excellent book, indespensable reading for anyone (with some background in mathematics and fluid mechanics) interested in understanding and modelling the dynamics of ocean waves … One gets the sense of a very lively, enthusiastic and dedicated scientific grouping that must have been great fun.’

Lucy Wyatt Source: Ocean Challenge

‘… the principal authors have done an admirable job of assembling a coherent whole and of providing a firm base for the exploration of the many challenging problems to come.’

John Miles Source: Science

‘The book contains both detailed aspects for modelling specialists or engineers but also indispensable rudiments for students of physics, oceanography or meteorology or for users interested in knowing the achievements and possibilities of wave modelling …’.

Source: World Meteorological Organization Bulletin

Refine List
Actions for selected content:
Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Send to Kindle
  • Send to Dropbox
  • Send to Google Drive
  • Send content to

    To send content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to .

    To send content items to your Kindle, first ensure is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

    Note you can select to send to either the or variations. ‘’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

    Find out more about the Kindle Personal Document Service.

    Please be advised that item(s) you selected are not available.
    You are about to send

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.


Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed