%0 Journal Article
%T Application of autocorrelation method on ionospheric short-term forecasting in China
%A LIU Ruiyuan
%A LIU Shunlin
%A XU Zhonghua
%A WU Jian
%A WANG Xianyi
%A ZHANG Beichen
%A HU Hongqiao
%A <br>LIU
%A Ruiyuan
%A LIU
%A Shunlin
%A XU
%A Zhonghua
%A WU
%A Jian
%A WANG
%A Xianyi
%A ZHANG
%A Beichen
%A HU
%A Hongqiao
%J 科学通报(英文版)
%D 2006
%I 
%X Adopting the autocorrelation method in the ionospheric short-term forecasting, we put forward a simple and practical forecasting method—the sectional autocorrelation method, that is, for predictions of one hour to four hours ahead the autocorrelation coefficient of RDF with the “iteration” method is selected, for prediction of more than four hours ahead, the autocorrelation coefficient of f 0 F 2 with the “at once” method is used. The prediction precisions have been quantitatively estimated based on the data from Chongqing and Guangzhou lonosonde Stations. It is shown that the method is much improved for the predictions of one hour to four hours ahead. For the predictions of more than four hours ahead the prediction error reaches a saturation value, which is still lower than that of the “median” method. This new method could also be applied to the short-term forecasting of other ionospheric parameters.
%K ionosphere
%K ionospheric forecasting
%K autocorrelation<br>电离层
%K 电离层预报
%K 自相关法
%K 短期预报
%K 中国
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=DD6615BC9D2CFCE0B6F945E8D5314523&aid=F3C579B556BE7ABB65ADD239B2D8CD57&yid=37904DC365DD7266&vid=987EDA49D8A7A635&iid=38B194292C032A66&sid=EA64BD0B2FF6E786&eid=FA88DCCE84EA0A56&journal_id=1001-6538&journal_name=科学通报(英文版)&referenced_num=0&reference_num=18