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Preface

Published online by Cambridge University Press:  22 January 2010

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

De uiterlijke eigenheden der zee, de kleuren en de verschillende golfvormen en de wijze waarop de grote baren omslaan, kokend aanbruisen, schuim-betijgerd uitzwalpen en zich terugslepen van 't vlakke zand – die herdacht zij en minde zij zoals een minnaar de trekken en gebaren van zijn geliefde herdenkt en mint.

Frederik van Eeden, Van de koele meren des doods, 1900

Those were the waves my friend …

The beginning

In the spring of 1984 Klaus Hasselmann invited wave modellers to Hamburg to discuss possible joint work. The WAM (Wave Modelling) group emerged. I dutifully reported on progress (Komen, 1985a,b, 1986, 1987a,b, 1990, 1991a,b). Now, ten years later, the WAM group has achieved what it wanted to achieve: a third generation computer model has been developed, which is able to predict the wave conditions at sea; it is used for global and regional applications; the model is a useful tool for interpreting satellite observations of the ocean and increased our understanding of the role of waves in air/sea interaction and the coupling between the atmosphere and the ocean. The results obtained are presented in this book.

WAM was one of a number of international collaborations: JONSWAP, SWAMP, SWIM, WAM, … Observations during the Joint North Sea Wave Project (Hasselmann et al, 1973) and also by Mitsuyasu and collaborators (Mitsuyasu, 1966, 1969, Mitsuyasu et al, 1971) had established the importance of the nonlinear transfer in governing the shape and evolution of a wind sea spectrum. Based on this finding ‘parametric’ wave models had been developed based on the approximation of a self-similar shape of the wind-sea spectrum.

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Publisher: Cambridge University Press
Print publication year: 1994

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  • Preface
  • G. J. Komen, 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
  • Book: Dynamics and Modelling of Ocean Waves
  • Online publication: 22 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511628955.001
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  • Preface
  • G. J. Komen, 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
  • Book: Dynamics and Modelling of Ocean Waves
  • Online publication: 22 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511628955.001
Available formats
×

Save book to Google Drive

To save 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 saving content to Google Drive.

  • Preface
  • G. J. Komen, 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
  • Book: Dynamics and Modelling of Ocean Waves
  • Online publication: 22 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511628955.001
Available formats
×