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。
Furthermore, the conventional observations are done in the MM5 model system, and a four-dimensional variational data assimilation test is made based on observed data.
最后对MM5伴随模式系统进行了梯度检验，并利用实际资料进行四维变分资料同化试验。
Considering that the model is traditionally supposed to be exact and only initial data fields are amended in Adjoint Assimilation System (AAS).
鉴于传统的四维资料伴随模式同化系统都是假设模式完全正确仅对初始场进行修正。
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