Ocean Modeling and Parameterization (Nato Science Series C:, 516)
ISBN 10: 0792352297 ISBN 13: 9780792352297
Verlag: Springer, 1998
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The realism of large-scale numerical ocean models has improved dramatically, in part because modern computers permit a more faithful representation of the differential equations by their algebraic analogues. Equally significant has been the improved understanding of physical processes on space and time scales smaller than those that can be represented in such models. Some of the most challenging issues remaining in ocean modelling are associated with parameterizing the effects of these high-frequency, small-spatial-scale processes. The success of any large-scale numerical simulation depends directly on the choices that are made for the parameterization of various subgrid processes. These choices are often constrained by the overall model architecture and may be more or less natural to the particular model design. A good understanding of parameterizations and their impact on the modelled ocean circulations is crucial to the large international projects seeking to achieve global simulations. In parallel, several large observational programs are underway, both from space and in situ, dealing with the short and long time scales. These observations are in turn leading to improvements in available parameterizations.
Críticas:
`... 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)
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Titel: Ocean Modeling and Parameterization (Nato ...
Verlag: Springer
Erscheinungsdatum: 1998
Einband: Softcover
Zustand: New
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Ocean Modeling and Parameterization
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Kluwer Academic Publishers, London, 1998
ISBN 10: 0792352297
ISBN 13: 9780792352297
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Softcover. Zustand: 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. Bestandsnummer des Verkäufers 9124
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Ocean Modeling and Parameterization
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Springer Netherlands, 1998
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ISBN 13: 9780792352297
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Ocean Modeling and Parameterization
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Springer, Springer Aug 1998, 1998
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ISBN 13: 9780792352297
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 464 pp. Englisch. Bestandsnummer des Verkäufers 9780792352297
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Ocean Modeling and Parameterization
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Springer Netherlands Aug 1998, 1998
ISBN 10: 0792352297
ISBN 13: 9780792352297
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9780792352297
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Ocean Modeling and Parameterization (Nato Science Series C:, 516)
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Ocean Modeling and Parameterization
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Springer Netherlands, Springer Netherlands, 1998
ISBN 10: 0792352297
ISBN 13: 9780792352297
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9780792352297
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