The Global Statistical Response of the Outer Radiation Belt During Geomagnetic Storms

The Global Statistical Response of the Outer Radiation Belt During Geomagnetic Storms
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DOI:
10.1002/2017gl076674
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发表时间:
2018-05
影响因子:
5.2
通讯作者:
K. Murphy;C. E. Watt;Ian R. Mann;I. J. Rae;D. Sibeck;A. Boyd;Colin Forsyth;D. Turner;S. Claudepierre;D. N. Baker;H. Spence;Geoff D. Reeves;J. Blake;J. F. Fennell
K. Murphy;C. E. Watt;Ian R. Mann;I. J. Rae;D. Sibeck;A. Boyd;Colin Forsyth;D. Turner;S. Claudepierre;D. N. Baker;H. Spence;Geoff D. Reeves;J. Blake;J. F. Fennell
中科院分区:
地球科学1区
文献类型:
--
作者:
K. Murphy;C. E. Watt;Ian R. Mann;I. J. Rae;D. Sibeck;A. Boyd;Colin Forsyth;D. Turner;S. Claudepierre;D. N. Baker;H. Spence;Geoff D. Reeves;J. Blake;J. F. Fennell

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使用根据范艾伦探针相空间密度计算出的总辐射带电子含量,对风暴期间外辐射带的时间依赖性和全局响应进行了统计研究。使用相空间密度可以减少主相中绝热变化的影响,从而可以分离绝热和非绝热效应,并揭示风暴时间辐射带电子动力学中清晰的模式和可重复的事件序列。该序列在种子 (150 MeV/G)、相对论 (1,000 MeV/G) 和超相对论 (4,000 MeV/G) 群体中表现出重要的第一绝热不变量 (μ) 依赖性行为。外辐射带统计显示,初始阶段以损失为主,随后是快速加速的第二阶段,而种子种群几乎没有损失并立即增加。过渡到加速度的时间顺序也强烈依赖于μ,并且首先发生在低μ处,似乎在不同的风暴中是可重复的。
Using the total radiation belt electron content calculated from Van Allen Probe phase space density, the time‐dependent and global response of the outer radiation belt during storms is statistically studied. Using phase space density reduces the impacts of adiabatic changes in the main phase, allowing a separation of adiabatic and nonadiabatic effects and revealing a clear modality and repeatable sequence of events in storm time radiation belt electron dynamics. This sequence exhibits an important first adiabatic invariant (μ)‐dependent behavior in the seed (150 MeV/G), relativistic (1,000 MeV/G), and ultrarelativistic (4,000 MeV/G) populations. The outer radiation belt statistically shows an initial phase dominated by loss followed by a second phase of rapid acceleration, while the seed population shows little loss and immediate enhancement. The time sequence of the transition to the acceleration is also strongly μ dependent and occurs at low μ first, appearing to be repeatable from storm to storm.