摘要
本文利用数值预报产品、TTAA报文观测资料及重庆雾(能见度)的实况资料,采用客观分析方法将相关资料处理成二维网格资料,再运用车贝雪夫正交多项式实现二维网格图形的数学定量描述,最后建立重庆雾的BP神经网络方法预测模型,并对重庆雾进行预报试验。检验结果表明,这种方法预报效果较好,基于客观分析的BP神经网络模型进行雾的短期预报具有一定的应用前景。
Based on numerical forecast productions, TTAA and fog(visibility)dataset two dimension grid data was produced by using objective analysis. Then the grid graph was described by means of the Chebyshef normal orthogonal polynomial decomposition. The fog prediction model in terms of BP neural network was established. Results show that the model is good and it is an important and useful model for the actual operational forecasting of fog in Chongqing.
出处
《气象科学》
CSCD
北大核心
2005年第3期293-298,共6页
Journal of the Meteorological Sciences
基金
重庆市科技攻关项目"重庆市主城区雾害形成机理
变化规律及其与大气污染的关系研究"(编号:2000-6485)资助
关键词
雾
客观分析
神经网络
预报
Fog Objective analysis Neural network Forecast
