| 书目名称 | Ocean Modeling and Parameterization | | 编辑 | Eric P. Chassignet,Jacques Verron | | 视频video | | | 丛书名称 | Nato Science Series C: | | 图书封面 |  | | 描述 | 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 | | 出版日期 | Book 1998 | | 关键词 | Ocean; Potential; Sea ice; computer; convection; dynamics; mixing; turbulent flow | | 版次 | 1 | | doi | https://doi.org/10.1007/978-94-011-5096-5 | | isbn_softcover | 978-0-7923-5229-7 | | isbn_ebook | 978-94-011-5096-5Series ISSN 1389-2185 | | issn_series | 1389-2185 | | copyright | Springer Science+Business Media Dordrecht 1998 |
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发表于 2025-3-21 19:11:01
