Meteorological data of variational assimilation of classic, mountain work.
气象资料数据变分同化的经典之作，开山之作。
The diffusion coefficient is estimated by variational assimilation method for 1-d diffusion equations.
利用变分同化方法对一维扩散方程扩散系数进行了估计。
This paper does the experiments of Doppler radar's Four-dimensional Variational Assimilation in MM5 model.
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。
It is suggested that the variational assimilation is an effective skill to improve the prediction accuracy.
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。
Lastly radar wind field and radar humility field are assimilated in the MM5 4d Variational Assimilation System.
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。
Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting.
水文和水文气象数据的实时变分同化进入业务水文预报。
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.
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。
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。
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.
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。
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。
In this paper the variational adjoint method is applied to the assimilation of the observed data into the sectional distribution of sea temperature to optimize the initial field.
以二维断面海温分布模型为例，利用海温实际观测数据，将变分伴随方法应用于断面海温初始场的优化。
Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.
并通过数值试验进一步肯定正则化理论在资料同化中的作用。
In this paper, the variational data assimilation of two kinds of physical model including "on-off"...
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。
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。
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。
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。
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