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9780792352297: Ocean Modeling and Parameterization

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ISBN 10 : 0792352297 ISBN 13 : 9780792352297

Editeur : Springer Netherlands, 2008

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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.

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�diteurSpringer Netherlands
Date d'�dition2008
ISBN 10 0792352297
ISBN 13 9780792352297
ReliureBroch�
Langueanglais
Nombre de pages460
Coordonn�es du fabricantnon disponible

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�tat : Bon

Edited by Eric P. Chassignet and...

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9780792352280: Ocean Modeling and Parameterization

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ISBN 10 : 0792352289 ISBN 13 : 9780792352280
Editeur : Springer, 1998
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Ocean Modeling and Parameterization

Chassignet, Eric P. & Jacques Verron

Edit� par Kluwer Academic Publishers, London, 1998

ISBN 10 : 0792352297 ISBN 13 : 9780792352297

Ancien ou d'occasion Softcover Edition originale

Vendeur : Dale A. Sorenson, Silver Spring, MD, Etats-Unis

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Softcover. Etat : Near Fine. First Edition; Softcover issue. Edited by Eric P. Chassignet and Jacques Verron. Dordrecht Boston London: Kluwer Academic Publishers in cooperation with NATO Scientific Affairs Division, (1998). First Edition, Softcover Issue, Signed and inscribed on front endpaper, in part, "FYI Warm regards Eric". Large 8vo. viii,451pp, Index, References. Several figures. Softcover, near fine condition. This collection of 18 papers by leading scientists "to summarize our present knowledge of those processes requiring parameterization in ocean models, to fully consider their optimal applications, and to introduce young scientists to the current state of the field". ISBN 0792352297; Nato Science Series C: (516; Several figures; Large 8vo 9" - 10" tall; 459 pages. N� de r�f. du vendeur 9124

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Ocean Modeling and Parameterization

Chassignet, Eric P.|Verron, Jacques

Edit� par Springer Netherlands, 1998

ISBN 10 : 0792352297 ISBN 13 : 9780792352297

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Ocean Modeling and Parameterization

Jacques Verron

Edit� par Springer Netherlands Aug 1998, 1998

ISBN 10 : 0792352297 ISBN 13 : 9780792352297

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 464 pp. Englisch. N� de r�f. du vendeur 9780792352297

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Ocean Modeling and Parameterization

Jacques Verron

Edit� par Springer Netherlands, Springer Netherlands Aug 1998, 1998

ISBN 10 : 0792352297 ISBN 13 : 9780792352297

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch. N� de r�f. du vendeur 9780792352297

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Ocean Modeling and Parameterization

Jacques Verron

Edit� par Springer Netherlands, Springer Netherlands, 1998

ISBN 10 : 0792352297 ISBN 13 : 9780792352297

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9780792352297

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