电离层暴时经验模型STORM在中国区域的适应性研究

Study on the Adaptability of the Empirical Storm-time Ionospheric Correction Model STORM in China Region

利用中国区域内9个垂测站1976—1987年一个太阳活动周期的电离层暴时f_0F_2数据,统计分析了电离层暴事件的等级,以及不同等级的电离层暴随季节和地磁纬度的分布特征.研究发现,中小型电离层暴在春秋季发生的概率较大,不同季节的发生次数与地磁纬度具有明显的关系.利用STORM模型对电离层暴时f_0F_2和大型及特大型电离层暴时f_0F_2的预测值与月中值进行了比较.结果表明,除了冬季误差增大外,发生电离层暴时STORM模型能够有效地改善月中值模型.增加中国的暴时数据,并提高对冬季的暴时参数f_0F_2的预测是改善STORM模型的重要因素.建立合适的暴时指数来预测f_0F_2是未来研究的重点.

Based on the ionospheric f_0F_2 data from 9 ionosonde stations in China region during a solar activity cycle from 1976 to 1987,the level and the distribution characteristic of the ionospheric storms along seasonal bins and geomagnetic latitudes are statistically investigated.It is found that the small and medium level storms occur more frequently in spring and autumn and the frequencies in different seasonal bins have relationship with the geomagnetic latitudes.A comparison between the storm-time predicted f_0F_2 values and the monthly median ones shows that the median model can be improved effectively by the STORM model except in winter.It is important of adding Chinese storm-time data and enhancing the prediction accuracy in winter to improve the STORM model. And developing an appropriate storm-time index to predict f_0F_2 is a key point in the future.