Background error covariance is very important to assure exclusive result, to govern the amount of smoothing of the observed information and to decide relationships between different variables in variational data assimilation.
在变分同化方法中，背景误差协方差矩阵对保证变分问题解的唯一性及分析的平滑性，反映不同变量之间的关系有着非常重要的作用。
参考来源 - 背景场误差的结构特征及其对三维变分同化影响的研究·2,447,543篇论文数据，部分数据来源于NoteExpress
气象资料数据变分同化的经典之作，开山之作。
Meteorological data of variational assimilation of classic, mountain work.
水文和水文气象数据的实时变分同化进入业务水文预报。
Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting.
证明了变分同化是提高预报准确率的一种非常有效的手段。
It is suggested that the variational assimilation is an effective skill to improve the prediction accuracy.
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