During the minimizing process of variational assimilation, calculation efficiency is very important and the optimal step size greatly influences the algorithm efficiency.
在变分同化的最小化过程中，计算效率无疑是最重要的，而优化步长的计算又直接关系到算法效率的成败。
By analyzing the partial linearization algorithm of CTDM, a quadratic interpolation method is proposed to obtain the approximated optimal step size.
对求解CTDM的部分线性化算法进行分析，提出了在进行步长优化时使用二次插值法得到模拟最优步长的方法。
By analyzing the partial linearization algorithm of CTDM, a quadratic interpolation method is proposed to obtain the approximated optimal step size.
对求解CTDM的部分线性化算法进行分析，提出了在进行步长优化时使用二次插值法得到模拟最优步长的方法。
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