2) variational data assimilation
变分资料同化
1.
Background error covariance is an important part of variational data assimilation system,which is used to spread the observation information to other grid points and vertical levels of the model.
背景误差协方差是变分资料同化系统中的一个重要组成部分,能将观测信息从观测点传播到周围的模式格点和垂直层上。
2.
For the prediction of ENSO,the accuracy of the model including the parameters and initial value etc is important,and they can be retrieved by the variational data assimilation methods developed in recent years.
采用变分资料同化技术,结合最优控制思想,对一个海气耦合模型的模式参数和强迫项进行了反演。
3) four-dimensional variational data assimilation
四维变分资料同化
1.
The key problem of four-dimensional variational data assimilation method,which solves the constraining numerical predict equations through accompanied model,is how to establish an accompanied model.
应用伴随方法求解以数值预报方程作为约束条件的四维变分资料同化方案 ,关键问题是如何构造伴随模式。
4) Area four dimensional variational data assimilation
区域四维变分资料同化
6) Four-Dimension Adjoint Variation Data Assimilation
四维变分资料伴随同化
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参考词条