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Thermospheric mass density variations during geomagnetic storms and a prediction model based on the merging electric field

机译:地磁暴期间的热层质量密度变化及基于合并电场的预测模型

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摘要

With the help of four years (2002a??2005) of CHAMP accelerometer data we have investigated the dependence of low and mid latitude thermospheric density on the merging electric field, IE/Isubm/sub, during major magnetic storms. Altogether 30 intensive storm events (Dstsubmin/sub&−100 nT) are chosen for a statistical study. In order to achieve a good correlation IE/Isubm/sub is preconditioned. Contrary to general opinion, IE/Isubm/sub has to be applied without saturation effect in order to obtain good results for magnetic storms of all activity levels. The memory effect of the thermosphere is accounted for by a weighted integration of IE/Isubm/sub over the past 3 h. In addition, a lag time of the mass density response to solar wind input of 0 to 4.5 h depending on latitude and local time is considered. A linear model using the preconditioned span style="border-top: 1px solid #000; color: #000;"IE/I/spansubm/sub as main controlling parameter for predicting mass density changes during magnetic storms is developed: ρ=0.5 span style="border-top: 1px solid #000; color: #000;"IE/I/spansubm/sub + ρsubamb/sub, where ρsubamb/sub is based on the mean density during the quiet day before the storm. We show that this simple relation predicts all storm-induced mass density variations at CHAMP altitude fairly well especially if orbital averages are considered.
机译:利用四年(2002a?2005)的CHAMP加速度计数据,我们研究了中低纬度热层密度与合并电场 E m 的依赖性。 ,在大磁暴期间。总共选择了30次强风暴事件(Dst min & -100 nT)进行统计研究。为了获得良好的相关性,对 E m 进行了预处理。与一般观点相反,必须应用 E m 而没有饱和效应,以便获得所有活动水平的磁暴的良好结果。热球的记忆效应是通过在过去3小时内 E m 的加权积分来解释的。另外,根据纬度和当地时间,考虑到太阳风输入的质量密度响应的滞后时间为0至4.5 h。使用预处理的 style =“ border-top:1px solid#000; color:#000;”> E m 作为主要控制的线性模型开发了用于预测电磁风暴期间质量密度变化的参数:&rho; = 0.5 style =“ border-top:1px solid#000; color:#000;”> E < sub> m +&rho; amb ,其中&rho; amb 是基于暴风雨来临前安静日的平均密度。我们表明,这种简单的关系可以很好地预测CHAMP高度处所有风暴引起的质量密度变化,特别是如果考虑轨道平均值的话。

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