使用地面磁力仪站的SuperMAG数据库进行地磁亚暴的网络分析
Network analysis of geomagnetic substorms using the SuperMAG database of ground-based magnetometer stations
摘要：
磁层亚暴的总体形态和动力学是根据地面磁力计观测到的定性极光特征而确定的。本文着重于地面磁力仪台站捕获的亚暴动态的定量表征。我们提出了第一次分析亚暴使用动力网络从北半球的地面磁强计观测的完整可用的。当来自运行时间窗口内的站对的矢量磁力计时间序列之间的相关性超过阈值时，将站连接在网络中。然后可以获得表征网络的无量纲参数，并通过扩展来表征观察到的亚暴的时空动态。我们分析了四个孤立的亚暴测试案例，以及稳定的磁对流（SMC）事件和一天中，没有亚暴发生。这些测试情况下的亚暴被发现给一个一致的特征网络响应在发病时，在其空间相关性。这种响应与SMC事件和非亚暴时间的响应是不同的。我们提出了一种方法来优化网络参数化不同的个人站的响应，在北半球的空间不均匀性，以及相关窗口大小的选择。我们的研究结果表明，动力网络分析有可能对亚暴进行定量分类。
英文摘要：
The overall morphology and dynamics of magnetospheric substorms is well established in terms of the observed qualitative auroral features seen in ground-based magnetometers. This paper focuses on the quantitative characterization of substorm dynamics captured by ground-based magnetometer stations. We present the first analysis of substorms using dynamical networks obtained from the full available set of ground-based magnetometer observations in the Northern Hemisphere. The stations are connected in the network when the correlation between the vector magnetometer time series from pairs of stations within a running time window exceeds a threshold. Dimensionless parameters can then be obtained that characterize the network and by extension, the spatiotemporal dynamics of the substorm under observation. We analyze four isolated substorm test cases as well as a steady magnetic convection (SMC) event and a day in which no substorms occur. These test case substorms are found to give a consistent characteristic network response at onset in terms of their spatial correlation. Such responses are differentiable from responses to the SMC event and nonsubstorm times. We present a method to optimize network parametrization with respect to the different individual station responses, the spatial inhomogeneity of stations in the Northern Hemisphere, and the choice of correlation window sizes. Our results suggest that dynamical network analysis has potential to quantitatively categorize substorms.
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