摘要
本方法从动力、统计相结合的角度出发,利用多年历史资料,采用逐步回归方法并辅以技术处理,求得非线性回归方程为PP模型的预报方程,并且利用正压模式输出的两个月数值预报产品进行了试报,结果表明该模型对重庆雾的24小时预报具有一定的能力。
In this paper, adopting the historical data in many years and the step wise regression analysis accompaning with the function transformation. the nonlinear regression equations are obtained as the perfect prediction model. The experimental prediction are made utilizing the two month outputs of the barotropic numerical prediction model,the results show that this perfect prediction model has a certain obility to predict the fog in chongqing in twenty-four hours'.
出处
《成都信息工程学院学报》
1992年第2期19-26,共8页
Journal of Chengdu University of Information Technology
关键词
雾
完全预报
逐步回归
fog
per feet prediction
stepwise regression analysis.