气象因子相关系数矩阵的计算及应用

Calculation and application of correlation coefficient matrix of meteorological factors

在建立包含基本气象资料、区域自动站降水资料、高空环流指数和数值预报产品格点资料等多源信息的Access数据库基础上,应用VB6.0编程,通过计算气象因子之间的相关系数矩阵等方法,研究应用于强降水一致区的划分、建立关键气象因子的预报方程并开展集成预报。结果表明,在专业气象预报服务中准确率达75%,实现从预报因子普查-预报模型建立-气象信息发布的自动化,提高气象预报科技服务的效率。

Using VB6.0 programming,an Access database containing multi-dimensional information such as basic meteorological data,regional automatic station precipitation data,high-altitude circulation index,and numerical prediction product grid data was established.By calculating the correlation coefficient matrix between meteorological factors and other methods,it was applied to the division of consistent areas of heavy precipitation,establishing prediction equations for key meteorological factors,and conducting integrated forecasting.The results show that the accuracy rate of professional meteorological forecasting service reaches 75%,achieving the automation from the census of forecasting factors,the establishment of forecasting models to the release of meteorological information,and improving the efficiency of meteorological forecasting technology services.