Overview
- Editors:
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Eric P. Chassignet
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Department of Meteorology and Physical Oceanography, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, USA
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Jacques Verron
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Centre National de la Recherche Scientifique, Laboratoire des Écoulements Géophysiques et Industriels, Grenoble, France
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Table of contents (18 chapters)
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Front Matter
Pages i-viii
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- James F. Price, Jiayan Yang
Pages 155-170
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- Alberto Alvarez, Joaquin Tintoré
Pages 327-350
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- Geir Evensen, Dick P. Dee, Jens Schröter
Pages 373-398
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- Thierry Fichefet, Hugues Goosse, Miguel A. Morales Maqueda
Pages 399-422
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Back Matter
Pages 449-451
About this book
The realism of large scale numerical ocean models has improved dra matically in recent years, in part because modern computers permit a more faithful representation of the differential equations by their algebraic analogs. Equally significant, if not more so, has been the improved under standing of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challeng ing issues remaining in ocean modeling are associated with parameterizing the effects of these high-frequency, small-space scale processes. Accurate parameterizations are especially needed in long term integrations of coarse resolution ocean models that are designed to understand the ocean vari ability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency mo tions in ocean modeling have been based on simple formulations, such as the Reynolds decomposition with constant diffusivity values. Until recently, modelers were concerned with first order issues such as a correct represen tation of the basic features of the ocean circulation. As the numerical simu lations become better and less dependent on the discretization choices, the focus is turning to the physics of the needed parameterizations and their numerical implementation. At the present time, the success of any large scale numerical simulation is directly dependent upon the choices that are made for the parameterization of various subgrid processes.
Reviews
`... I strongly recommend this book for the library of each ocean climate modeler, indeed, for any climate modeler. It represents much more than a simple conference/workshop proceeding and may well fit into a course discussing physical parameterizations used in ocean modeling. It is my hope that such schools/workshops on climate-related science continue well into the future, thus producing more volumes of comparable quality and importance.'
Bulletin of the American Meteorological Society, 81:3 (2000)
Editors and Affiliations
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Department of Meteorology and Physical Oceanography, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, USA
Eric P. Chassignet
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Centre National de la Recherche Scientifique, Laboratoire des Écoulements Géophysiques et Industriels, Grenoble, France
Jacques Verron
