Preliminary Investigation of Real-time Mapping of f_oF₂ in Northern China Based on Oblique Ionosonde Data

【作者】 周晨； 赵正予； 陈罡； 杨国斌； 张援农；

【机构】 武汉大学电子信息学院；

【摘要】 A real-time mapping model of foF2 in northern China was established using neural networks(NNs).To avoid the local minimum problem associated with traditional NNs,a newly improved genetic algorithm-based NN(GA-NN)was developed using the input parameters of solar activities,geomagnetic activities,neutral winds,seasonal information,and geographical coordinates.The foF2 data were extracted by inversing the oblique ionograms obtained from the oblique ionosondes of the China Ground-based Seismo-ionospheric Monitoring Network every 30 minutes for the period from August 2009 to December2011.The data associated with five transmitter stations(Beijing,Changchun,Qingdao,Xinxiang,and Suzhou)and one receiver station in Binzhou were considered the input parameters for the real-time foF2mapping model,and the data from the Dalian and Jinyang transmitter stations were used to verify the results.The Jining transmitter station data were used to test the capability of the model.The root-mean-square error(RMSE)and percent deviation(PD)were calculated to estimate the performance of the model.The correlation coefficient was used to evaluate the correlation of observed and predicted values.In addition,observations of foF2 from the vertical ionosondes at Beijing,Changchun,Qingdao,and Suzhou stations are compared with the model prediction of foF2.The results indicate that the developed real-time foF2 mapping model based upon GA-NN is very promising for ionospheric studies.更多还原

【Abstract】 A real-time mapping model of foF2 in northern China was established using neural networks(NNs).To avoid the local minimum problem associated with traditional NNs,a newly improved genetic algorithm-based NN(GA-NN) was developed using the input parameters of solar activities,geomagnetic activities,neutral winds,seasonal information,and geographical coordinates.The foF2 data were extracted by inversing the oblique ionograms obtained from the oblique ionosondes of the China Ground-based Seismo-ionospheric Monitoring Network every 30 minutes for the period from August 2009 to December2011.The data associated with five transmitter stations(Beijing,Changchun,Qingdao,Xinxiang,and Suzhou) and one receiver station in Binzhou were considered the input parameters for the real-time foF2 mapping model,and the data from the Dalian and Jinyang transmitter stations were used to verify the results.The Jining transmitter station data were used to test the capability of the model.The root-mean-square error(RMSE) and percent deviation(PD) were calculated to estimate the performance of the model.The correlation coefficient was used to evaluate the correlation of observed and predicted values.In addition,observations of foF2 from the vertical ionosondes at Beijing,Changchun,Qingdao,and Suzhou stations are compared with the model prediction of foF2.The results indicate that the developed real-time foF2 mapping model based upon GA-NN is very promising for ionospheric studies.更多还原