書目名稱 | Ocean Modeling and Parameterization | 編輯 | Eric P. Chassignet,Jacques Verron | 視頻video | http://file.papertrans.cn/701/700497/700497.mp4 | 叢書名稱 | Nato Science Series C: | 圖書封面 |  | 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 | 關(guān)鍵詞 | 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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