MOMS 中尺度模式的多元最优插值客观分析方法

数值预报模式的预报结果与初始值关系较为密切。因此改善初始场的客观分析效果，是提高预报准确率的一个重要方面。该文针对MOMS中尺度模式的特点，研究设计了多元最优插值客观分析方法。采用T42模式预报结果作为初估值，在测站的选择、记录的订正、测站资料补缺等诸方面都考虑了中尺度模式的特点。该客观分析方案为中尺度数值天气预报及诊断分析提供了较好的初值，对提高中尺度模式的预报效果起到了较好的作用。

An Objective Analysis Method of Multivariate Optimum Interpolation in Mesoscale Model

The forecast results from numerical weather prediction models are closely related to their initial values.Thus,the improvement of the objective analysis would result in the increase of forecast accuracy.In this study,based on the features of the MOMS mesoscale model,an objective analysis method with multivariate optimum interpolation is advanced. The forecast results of T42 model is used as the first guess and the features of mesoscale model have been taken into consideration in the selection of observational stations,correction of the records,and filling up a vacancy of observation data.The objective analysis schemes have provided good initial values for mesoscale numerical weather prediction model and diagnostic analysis, which is favourable for the great improvement of the forecast accuracy of mesoscale model.