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.
因此，MODIS大气可降水量资料经过修正后，可以为卫星反演模式提供同化性较好的输入资料。
So we can conclude that after revised the MODIS atmospheric precipitable water data can be used to satellite derived model and can improve the retrieval accuracy of some satellite remoting 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.
另外，GPS测量可降水量本身可能存在系统误差，在将GPS资料同化入数值预报模式时应关注GPS资料本身的可靠性。
In addition, GPS observation itself maybe have system error, so it is needed to take into account GPS self-reliability when assimilating the GPS data into the numerical prediction model.
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.
试验表明：在伴随模式同化系统中加入常规和非常规资料，可以改进初始场，从而改善预报场。
The results indicate that the adding of conventional and non-conventional observations into adjoint model system can improve the quality of initial field, thereof improve the result of forecasting.
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.
以此作为第三代海浪模式的输入风场，模拟了1999年约克（York）台风经过南海海域的台风浪，并利用 T/P卫星高度计观测的有效波高资料对模式进行同化。
The new wind field agreed well with the one derived from TOPEX/Poseidon altimeter, and was used to force a third wave model to simulate typhoon YORK which passed through the South China Sea in 1999.
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。
Considering that the model is traditionally supposed to be exact and only initial data fields are amended in Adjoint Assimilation System (AAS).
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.
因而海洋资料同化能有效的将现有的海洋观测融入海洋模式中，从而可以提供时空分布更加完善的再分析资料。
Thus it could effectively apply observations to ocean model to produce reanalysis product with more complete time-space distribution.
由于在物理过程参数化、网格嵌套、资料四维同化等方面也有许多改进，大大改善了模式性能，扩展了其应用范围。
Because of the improvements in physical process parameter, grid nesting and 4-d assimilation of data and so on, its performance was improved greatly and its application scope was expanded.
由于在物理过程参数化、网格嵌套、资料四维同化等方面也有许多改进，大大改善了模式性能，扩展了其应用范围。
Because of the improvements in physical process parameter, grid nesting and 4-d assimilation of data and so on, its performance was improved greatly and its application scope was expanded.
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