Data Assimilation for Nonlinear Models of Ocean Circulation

海洋环流非线性模型的数据同化

• 批准号: 8800004
• 负责人: Andrew Bennett
• 金额: $ 25.95万
• 依托单位: Oregon State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-03-01 至 1992-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8800004&HistoricalAwards=false
• 关键词: Data; Assimilation; Nonlinear; Models; Ocean

This effort will address data assimilation in models of the ocean circulation. The PI will consider two classes of problems: The use of inverse methods in non-linear quasigeostrophic models to understand quasi-Guassian processes, and The development of front tracking to understand intermittent circulation phenomena, such as strong boundary current flows. The use of data input to constrain both types of models will be studied by generalized inverse procedures and iterative methods. Appropriate functional representations will be sought for realistic oceanic fields, including fronts and eddies.

这一努力将解决数据同化的模式， 海洋环流。 PI将考虑两类 问题：在非线性中使用逆方法 准地转模型来理解准高斯过程， 和前端跟踪的发展，以了解 间歇性环流现象，如强边界 电流流动。 使用数据输入来约束这两种类型 的模型将研究广义逆程序， 迭代方法。 适当的功能表示将 寻求现实的海洋领域，包括前线， 漩涡