而后以一个数值预报模式为例，说明了构造伴随模式同化系统的基本方法。
The example of a numerical prediction model shows the basic method of developing adjoint assimilation system of numeric predict model.
近年来，卫星辐射资料在数值天气预报（NWP）系统中的直接同化研究取得了长足进展。
Recently, much progress has been made in the direct assimilation of satellite radiance measurements in numerical weather-prediction(NWP) system.
全球区域同化预报系统为中国新一代数值天气预报模式。
Global regional assimilation and prediction system is a new numerical weather forecast model in China.
地表比辐射率计算的不确定性，直接影响到卫星资料在数值预报中同化应用的效果。
The uncertainty of surface emissivity influences directly the efficiency of satellite radiance assimilation in numerical weather prediction 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.
以一维水温模型为例，利用伴随算子法进行海洋观测数据同化，以便给水温的数值预报提供一个较准确的初始场。
To carry out the data assimilation of sea temperature observations the adjoint method is applied, which can provide an accurate initial temperature field for numerical prediction.
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.
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.
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。
Ideal experiments are also conducted to verify the effect of the regularization method on variational data assimilation.
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.
采用中国近海海表面温度短期数值预报模式，将船舶测报海表面温度同化到该模型中，对SST初始场进行优化。
The frame of SST model adopted here is based on "the short term forecasting model of offshore SST in China seas".
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。
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.
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