The accuracy of vertical interpolation of the initial data in numerical prediction is one of widely concerned problems.
在数值预报中，初始场的垂直插值精度是众所关心的问题。
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.
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。
The system has been used to perform numerical test according to homogeneous initial fields and inhomogeneous initial fields, which was showed by intensive and conventional observation data.
并利用本系统就均匀初始场、加密观测资料和常规报文资料作为非均匀初始场分别进行了模拟试验。
The method is also helpful for numerical weather prediction models in providing a better initial data set and improving the accuracy of calculation of pressure gra...
在数值预报模式中使用这种方法可较好地求得陡坡地区的气压梯度力，改进模式的性能。
Besides, a new numerical method is presented for solving the basic equations, so that it has better convergence and the demand on initial data decreases.
在基本方程的求解中，提出了新的计算方法，使得求解时对初始点的要求大为降低，且收敛性较好。
The results show that some obvious improvements can be obtained for the track forecasting by using ensemble members formed by the data of initial fields of the 3 different numerical models.
结果表明，采用不同模式的初始资料生成得到初值集合成员的方法用于集合预报，对南海热带气旋路径预报有一些明显的改进。
The results show that some obvious improvements can be obtained for the track forecasting by using ensemble members formed by the data of initial fields of the 3 different numerical models.
结果表明，采用不同模式的初始资料生成得到初值集合成员的方法用于集合预报，对南海热带气旋路径预报有一些明显的改进。
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