Data Assimilation for Nonlinear Models of Ocean Circulation

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， 以及了解前方追踪的发展 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， 迭代法 适当的功能表示将 寻求现实的海洋领域，包括前线， 漩涡

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.