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.
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.
试验表明该系统有较强的同化能力，能够提高MM 5降水预报的准确性。
The results show that this system has powerful assimilation capacity and is able to improve the accuracy of MM5 model rainfall forecast.
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.
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.
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.
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.
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