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欧洲扇区不同纬度电离层暴特征的统计分析
引用本文:吴佳姝,徐良.欧洲扇区不同纬度电离层暴特征的统计分析[J].地球物理学报,2015,58(2):349-361.
作者姓名:吴佳姝  徐良
作者单位:武汉大学电子信息学院, 武汉 430072
基金项目:国家自然科学基金(40974087,41274160,41221003)资助
摘    要:本文利用Madrigal数据库的TEC数据对2001—2010年间的156次单主相型磁暴事件,统计分析了欧洲扇区从赤道到极光带共5个纬度区域的电离层暴特征,结果表明:(1)电离层暴有明显的纬度分布特征,正负暴出现次数的比例随纬度的降低呈现明显的增加趋势,但夏季赤道地区趋势相反,正负暴比例比更高纬度的反而降低;(2)与主相相比,恢复相期间大部分纬度地区正暴数量减少,负暴数量增加,但赤道地区恢复相期间正暴数量反而增加;(3)中低纬地区电离层暴随磁暴MPO地方时分布特征明显,正暴所对应的MPO主要分布在白天,而MPO发生在夜间容易引起负暴;(4)电离层负暴主要发生在夜间,中、高纬地区负暴的开始时间存在‘时间禁区’,但不同纬度‘时间禁区’的地方时分布有一定差异,正暴分布则相对分散.

关 键 词:电离层暴  季节分布  地方时分布  纬度差异  成分扰动带  穿透电场  扰动风场  
收稿时间:2014-10-26

Statistical study of the ionospheric storms over 5 latitude zones in the European sector
WU Jia-Shu;XU Liang.Statistical study of the ionospheric storms over 5 latitude zones in the European sector[J].Chinese Journal of Geophysics,2015,58(2):349-361.
Authors:WU Jia-Shu;XU Liang
Institution:College of Electronic Informatics, Wuhan University, Wuhan 430072, China
Abstract:The ionospheric storm has been studied for over 50 years and different physical mechanisms have been carried out to explain the different responses of ionosphere. Some studies focused on the ionospheric disturbance in a specified latitude zone since the ionospheric storm shows significant dependence on latitude. Using TEC data from Madrigal Database in the European sector during 156 geomagnetic storms between 2001 and 2010, the statistical features of the ionospheric storms over 5 latitude zones, from equator to auroral oval, are presented in this paper. SYM-H data is used to determine all the geomagnetic storms between 2001 and 2010. Altogether 156 storms were identified, whose main phase undergo a single step growth according to the criterion of Kamide et al (1998). Diurnal TEC data over 5 latitude zones are required through spatial-average and time-average process in both storm and peacetime. The difference of diurnal TEC in storm and average diurnal TEC in peacetime is identified as the response of ionosphere. If the difference is more (less) than 25% of the average diurnal TEC in peacetime for more than 3 hours, the storms are classified as positive (negative) storms or P (N) storms. Some ionospheric storms show initial positive storms followed by negative storms, which are classified as PN storms. A small number of storms, which are found to have initial negative storms followed by positive storms, are classified as NP storms. NS storms are identified as non-significant ionospheric response during geomagnetic storm.From the statistical features of ionospheric storms over 5 latitude zones, including the dependences of ionospheric storms on latitude, season, phase of geomagnetic storms and local time, and time dependence of the onset of ionospheric storms, the results show that: 1) the ionospheric storms show significant features in latitudinal distribution, the ratio of positive storms to negative storms decreases with increasing latitude with one exception that the ratio in equatorial area is even lower to that in higher latitudes; 2) the number of positive storms decreases in recovery phase when compared with main phase, and the number of negative storms shows opposite pattern. However, the number of positive storms increases in equatorial area during recovery phase; 3) the MPO of positive storms in low and middle latitude mainly appears in daytime and nighttime MPO tend to cause negative storms; 4) negative storms tend to occur in night sector, a significant feature of the negative storms at mid-high latitudes is the so-called ‘forbidden time interval’, which shows latitudinal difference in the local time distribution. And positive storms shows more scattered local time distribution. Some of the results in this paper are compared to former studies and given explanations; however some results still need further study. This research contributes more understanding of the features and mechanisms of ionospheric storms in different latitudes, and provides useful information for modeling and forecasting of ionospheric disturbance.
Keywords:Ionospheric storm  Seasonal distribution  Local time distribution  Latitudinal difference  Composition disturbance zone  Penetration electric field  Disturbance neutral wind
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