论文标题
连续数据吸收双扩散自然对流
Continuous Data Assimilation for the Double-Diffusive Natural Convection
论文作者
论文摘要
在这项研究中，我们分析了一种对双扩散自然对流模型的连续数据同化方案。该算法是使用一阶向后欧拉时间方案以及空间中有限元离散化引入的。为了推动参数的不同选项提供了长时间的稳定性和收敛结果。为了确认该理论并证明了算法的希望。
In this study, we analyzed a continuous data assimilation scheme applied on a double-diffusive natural convection model. The algorithm is introduced with a first order backward Euler time scheme along with a finite element discretization in space. The long time stability and convergence results are presented for different options of nudging parameters. Two elaborative numerical test are given in order to confirm the theory and prove the promise of the algorithm.
