Ocean Modeling and Parameterization:
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1998
|
| Schriftenreihe: | NATO Science Series, Series C: Mathematical and Physical Sciences
516 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The realism of large scale numerical ocean models has improved dramatically 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 understanding of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challenging 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 variability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency motions 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 representation of the basic features of the ocean circulation. As the numerical simulations 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 |
| Beschreibung: | 1 Online-Ressource (VIII, 451 p) |
| ISBN: | 9789401150965 9780792352297 |
| ISSN: | 1389-2185 |
| DOI: | 10.1007/978-94-011-5096-5 |
Internformat
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| 246 | 1 | 3 | |a Proceedings of the NATO Advanced Study Institute, Les Houches, France, January 20-30, 1998 |
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| 490 | 1 | |a NATO Science Series, Series C: Mathematical and Physical Sciences |v 516 |x 1389-2185 | |
| 500 | |a The realism of large scale numerical ocean models has improved dramatically 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 understanding of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challenging 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 variability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency motions 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 representation of the basic features of the ocean circulation. As the numerical simulations 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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| id | DE-604.BV042416043 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:20:59Z |
| institution | BVB |
| isbn | 9789401150965 9780792352297 |
| issn | 1389-2185 |
| language | English |
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| series2 | NATO Science Series, Series C: Mathematical and Physical Sciences |
| spelling | Ocean Modeling and Parameterization edited by Eric P. Chassignet, Jacques Verron Proceedings of the NATO Advanced Study Institute, Les Houches, France, January 20-30, 1998 Dordrecht Springer Netherlands 1998 1 Online-Ressource (VIII, 451 p) txt rdacontent c rdamedia cr rdacarrier NATO Science Series, Series C: Mathematical and Physical Sciences 516 1389-2185 The realism of large scale numerical ocean models has improved dramatically 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 understanding of physical processes on space and time scales smaller than those that can be represented in such models. Today, some of the most challenging 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 variability within the climate system on seasonal to decadal time scales. Traditionally, parameterizations of subgrid-scale, high-frequency motions 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 representation of the basic features of the ocean circulation. As the numerical simulations 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 Geography Oceanography Earth Sciences Theoretical, Mathematical and Computational Physics Classical Continuum Physics Geografie Geowissenschaften Chassignet, Eric P. edt Verron, Jacques edt NATO Science Series, Series C Mathematical and Physical Sciences 516 (DE-604)BV012991478 516 https://doi.org/10.1007/978-94-011-5096-5 Verlag Volltext |
| spellingShingle | Ocean Modeling and Parameterization Geography Oceanography Earth Sciences Theoretical, Mathematical and Computational Physics Classical Continuum Physics Geografie Geowissenschaften |
| title | Ocean Modeling and Parameterization |
| title_alt | Proceedings of the NATO Advanced Study Institute, Les Houches, France, January 20-30, 1998 |
| title_auth | Ocean Modeling and Parameterization |
| title_exact_search | Ocean Modeling and Parameterization |
| title_full | Ocean Modeling and Parameterization edited by Eric P. Chassignet, Jacques Verron |
| title_fullStr | Ocean Modeling and Parameterization edited by Eric P. Chassignet, Jacques Verron |
| title_full_unstemmed | Ocean Modeling and Parameterization edited by Eric P. Chassignet, Jacques Verron |
| title_short | Ocean Modeling and Parameterization |
| title_sort | ocean modeling and parameterization |
| topic | Geography Oceanography Earth Sciences Theoretical, Mathematical and Computational Physics Classical Continuum Physics Geografie Geowissenschaften |
| topic_facet | Geography Oceanography Earth Sciences Theoretical, Mathematical and Computational Physics Classical Continuum Physics Geografie Geowissenschaften |
| url | https://doi.org/10.1007/978-94-011-5096-5 |
| volume_link | (DE-604)BV012991478 |
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