An oceanographic three-dimensional variational data assimilation scheme
An oceanographic three-dimensional variational data assimilation scheme
复制标题
DOI：
10.1016/j.ocemod.2008.01.004
复制
发表时间：
2008-01-01
期刊：
影响因子：
3.2
通讯作者：
Pinardi, Nadia
中科院分区：
文献类型：
--
作者：
Dobricic, Srdjan;Pinardi, Nadia
本研究描述了基于背景误差协方差的新颖规范的海洋学三维变分（3D-VAR）数据同化方案的开发和评估。新的 3D-VAR 方案允许背景误差协方差矩阵的区域变化、复杂的海岸边界条件和可变的底部地形。误差协方差矩阵是通过连续应用线性算子形成的，线性算子可以考虑垂直EOF、考虑海岸线的水平协方差函数、从浅到深区域变化的海平面校正以及海岸附近速度校正的散度倾倒。该方案适用于地中海，并通过将背景估计值与 2005 年 10 月至 2006 年 10 月期间的观测结果进行比较来评估分析质量。(c) 2008 Elsevier Ltd. 保留所有权利。
This study describes the development and evaluation of an oceanographic three-dimensional variational (3D-VAR) data assimilation scheme based on a novel specification of the background error covariances. The new 3D-VAR scheme allows for regional variability of the background error covariance matrix, complex coastal boundary conditions and variable bottom topography. The error covariance matrix is formed by the successive application of linear operators that can consider vertical EOFs, horizontal covariance functions that consider coastlines, sea level corrections that vary from shallow to deep regions and divergence dumping of velocity corrections near the coasts. The scheme is applied to the Mediterranean Sea and the quality of analysis is assessed by comparing background estimates with observations in the period October 2005-October 2006. (c) 2008 Elsevier Ltd. All rights reserved.