摘要
利用时间累积地磁指数ap(T),建立了强地磁扰动条件下电离层f_0F_2与月中值相对偏差经验模型.该经验模型只在春秋季节和夏季特强地磁扰动条件ap(T)>100,即时间累积地磁指数大于100时达到理想精度.尝试利用气象预报中常用的Kalman滤波方法对模型的系数进行实时修正,以提高预报精度,并对长春站1986—1995年近一个太阳周f_0F_2数据进行提前一小时预报试验.冬季预报均方根误差为0.76 MHz,春秋季节为0.68MHz,夏季为0.61 MHz.在特强地磁扰动条件下,预测误差在0.87～1.43MHz之间.该预报方法同时与包含暴时修正模型STORM的国际参考电离层IRI2001进行了比较,展示了Kalman滤波方法实时修正模型系数的能力和良好的应用前景.
With the time weighted accumulation index ap（τ）, an empirical storm model of the relative deviation of foF2 from its monthly median is established. It shows good accuracy only at strong geomagnetic disturbed condition in summer and equinoxes, but less accuracy result for winter. The wide used method in weather, hydrography, etc., Kalman filter, is used to update the coefficients of the empirical model and expected to make better improvement. The test with the ionosound data of hourly values from 1986 to 1995 at Changchun illustrates that the root-mean-squre error of the forecasted values in one hour advance is 0.76 MHz in winter, 0.68 MHz in summer and 0.61MHz in equinoxes, respectively. The root-mean-squre error in different seasons are from 0.87MHz to 1.43MHz in the case of ap（τ） 〉 100, i.e. the super strong geomagnetic disturbed condition. Simultaneously the method is compared with IRI2001 including the STORM model for several disturbed events, which shows the ability of updating the model coefficients and prospect of application.
出处
《空间科学学报》
CAS
CSCD
北大核心
2009年第2期202-207,共6页
Chinese Journal of Space Science
基金
自然科学重大国际合作项目(40310223)
电波环境特性及模化技术国家重点实验室项目(9140C0801060803,9140C0801060803)共同资助
关键词
电离层暴
磁暴
KALMAN滤波
短期预报
Ionospheric storm, Magnetic storm, Kalman filter, Short-term forecast
作者简介
E-mail： xutong1104@126.com
