2015年三次强地磁暴经验电离层模式的比较

S. Sağır, Şerife Erbay
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引用次数: 0

摘要

地磁场既是电离层的屏蔽层,又是电子密度调节器。地磁场对电离层的影响可以分别在地磁平静日和扰动日进行考察。在本研究中,对2015年第24太阳周期下降阶段开始的三个不同的严重地磁风暴时期电离层模型的性能进行了评估。这三次风暴分别发生在2015年3月17日至18日、6月22日至23日和12月20日至21日,其中第一次是圣帕特里克节地磁风暴。利用全球定位系统(GPS)测量了总电子含量(TEC)与NeQuick 2、IRI 2016、IRI Plas(无任何输入-“IRI Plas”)和IRI Plas TEC(有TEC输入-“IRI Plas TEC”)全球模型之间的关系,调查了安卡拉(39.57 N, 32.53 E)、伊斯坦布尔(40.58 N, 29.05 E)和埃尔zurum (40.39 N, 40.42 E) 3个土耳其IGS站点。利用平均绝对误差(MAE)、均方根误差(RMSE)和平均绝对百分比误差(MAPE)指标以及对称Kullback-Leibler距离(KLD)方法,分别对风暴前、风暴中和风暴后进行了比较。在经验模式中,IRI Plas TEC对所有风暴过程的模拟结果普遍优于其他模式。可以说,IRI 2016在风暴回归阶段的表现较好于风暴的其他阶段。
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Comparison of the Empirical Ionospheric Models During Three Severe Geomagnetic Storm Occurred in 2015
The geomagnetic field acts as both the shield and the electron density regulator for the ionosphere. The effect of the geomagnetic field on the ionosphere can be examined separately for the geomagnetically quiet and disturbed days. In the current study, the performance of the ionospheric models was evaluated for three different severe geomagnetic storms periods during the year of 2015, which was in the beginning of the descending phase of the 24th solar cycle. These three storms occurred during 17-18 March, 22-23 June and 20-21 December of year 2015 in which first one expressed as St. Patrick's Day geomagnetic storm. The relationship between Total Electron Content (TEC) was measured by Global Positioning System (GPS) and evaluated with NeQuick 2, IRI 2016, IRI Plas (without any input- “IRI Plas”) and IRI Plas TEC (with TEC input- “IRI Plas TEC”) global models at three Turkey IGS station namely Ankara (39.57 N, 32.53 E), Istanbul (40.58 N, 29.05 E) and Erzurum (40.39 N, 40.42 E) investigated. The comparison was made separately for pre-storm, during storm and post-storm by using the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) metrics and symmetric Kullback-Leibler Distance (KLD) methods. Among the empirical models, IRI Plas TEC is generally present to be better results than other models for all storm processes. It can be stated that IRI 2016 is better in the storm return phase compared to other phases of the storm.
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