Title :
Integrated model for short-term forecasting of ionospheric parameters
Author :
Jing Feng ; Wen Liu ; Dongyu Qi
Author_Institution :
China Res. Inst. of Radiowave Propagation, Qingdao, China
Abstract :
So far many kinds of methods have been developed for short-term forecasting of ionospheric parameters worldwide, hence various forecasted results can be got. An integrated model for ionospheric short-term forecasting is presented here which can integratedly use the various forecasting methods by giving each one proper weight and making full use of their advantages. A test for 1h~24h foF2 forecast at nine ionospheric observation stations in China during one solar activity cycle(2000-2010) shows that the model is better than each single input method and the optimal result can be obtained.
Keywords :
F-region; ionospheric techniques; solar activity; AD 2000 to 2010; China; foF2 forecast; input method; ionospheric observation stations; ionospheric parameters; ionospheric short-term forecasting; proper weight; solar activity cycle; Artificial neural networks; Computational modeling; Data models; Equations; Forecasting; Mathematical model; Predictive models;
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
DOI :
10.1109/URSIGASS.2014.6929755