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.
利用变分同化方法对一维扩散方程扩散系数进行了估计。
The diffusion coefficient is estimated by variational assimilation method for 1-d diffusion equations.
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.
对于变分同化中经常遇到的多极值问题，一般的优化算法无法解决。
The ordinary optimization algorithm can not solve the multi-extreme value problem in data assimilation, so an improvement to steepest descent algorithm is proposed to solve the problem.
最后把雷达风场和雷达湿度场同化到MM 5四维变分同化系统中。
Lastly radar wind field and radar humility field are assimilated in the MM5 4d Variational Assimilation System.
本文的工作就是多普勒雷达资料在MM 5模式中的四维变分同化试验。
This paper does the experiments of Doppler radar's Four-dimensional Variational Assimilation in MM5 model.
本文研究多普勒天气雷达风场信息变分同化技术在华南强对流天气数值预报中的应用。
It is studied in this paper how to apply the wind field variational assimilation technique of Doppler weather radar in numerical prediction of severe convection weather in South China.
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。
During the minimizing process of variational assimilation, calculation efficiency is very important and the optimal step size greatly influences the algorithm efficiency.
在本文的数值试验中，使用了共轭码方法对该上述方案进行了变分同化，提出了构建数值预报初始场的新途径。
In this numeric experiment, adjoint code is introduced into the method for variational assimilation, which brings forward a new way for predicting the primitive field.
GPS折射角资料具有分辨率高、全天候探测、覆盖全球等优点，实现对GPS折射角资料的变分同化，将具有非常重要的意义。
There are many advantages of the GPS bending Angle, such as high resolution, availability in all weather conditions, and global data coverage.
研究人口的阻滞增长模型，采用资料变分同化方法及最优控制的技巧，从理论上对模型中的最大人口容量和固有增长率进行最优确。
By using the variation assimilation method and the optimal control method, theoretical analyses of the maximum population capacity and the inherent growth rate for the population model is presented.
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。
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.
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。
The four-dimensional data assimilation is to integrate the current and past data into a forecast model equation for providing time continuity and dynamic coupling.
本文研究了两类含有“开关”的物理过程的变分资料同化问题。
In this paper, the variational data assimilation of two kinds of physical model including "on-off"...
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。
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.
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。
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。
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.
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