An empirical model for the location and occurrence rate of near-Earth magnetotail reconnection
An empirical model for the location and occurrence rate of near-Earth magnetotail reconnection
复制标题
近地磁尾重联位置和发生率的经验模型
DOI：
10.1002/2013ja019125
复制
发表时间：
2013
影响因子：
--
通讯作者：
J. Goldstein and T. Nagai
中科院分区：
文献类型：
--
作者：
K. J. Genestreti;S. A. Fuselier;J. Goldstein and T. Nagai
我们介绍了一个关于近地磁尾中磁重联的位置和发生率的经验模型。该模型是使用GeoTail数据构建的，包括Nagai等人确定的扩散区域和快速尾流事件集。(2005)。活动由他们的XGSM地点安排。事件发生轮廓通过GeoTail在建模的中性表的距离内所花费的时间来归一化。为了确定中性层的位置，我们使用了Fairfield(1980)的经验模型。我们通过符合费尔菲尔德中性表模型的坐标系来组织我们的数据。在这个新的坐标系中，我们计算了物理中性片交叉点与费尔菲尔德模型预测的位置的偏差。我们等于这个标准差的恒定倍数(0.5RE、2RE和5RE)。使用这些值，我们发现我们推导出的重连事件的发生率与现有文献中的类似计算结果具有一致的量级。然后，我们使用我们的经验模型来分析磁层多尺度(MMS)任务的预测星历。我们预测，在即将到来的近尾探测阶段，MMS将观测到9至4次扩散区事件(名义估计为7次)，以及57至31次快速尾流事件(名义估计为47次)。由于用于识别扩散区域事件的标准的限制性，我们强调，我们计算的预测事件的数量代表保守估计。
We introduce an empirical model for the location and rate of occurrence of magnetic reconnection in the near‐Earth magnetotail. The model is constructed using Geotail data, including the set of diffusion region and fast tailward flow events identified in Nagai et al. (2005). Events are arranged by theirXGSMlocation. The event occurrence profile is normalized by the time spent by Geotail within a distancedof the modeled neutral sheet. To locate the neutral sheet, we use the empirical model of Fairfield (1980). We organize our data via a coordinate system that conforms to the Fairfield neutral sheet model. In this new coordinate system, we calculate the deviation of physical neutral sheet crossings from their Fairfield‐model‐predicted locations. We equatedto constant multiples of this standard deviation (0.5RE, 2RE, and 5RE). Using these values, we find that our deduced rate of occurrence of reconnection events has a magnitude consistent with those from similar calculations found in the existing literature. We then use our empirical model to analyze the predicted ephemeris for the Magnetospheric Multiscale (MMS) mission. We predict that during its upcoming near‐tail survey phase, MMS will observe between nine and four diffusion region events (nominal estimate of 7), and between 57 and 31 fast tailward flow events (nominal estimate of 47). Because of the restrictive nature of the criteria used to identify diffusion region events, we emphasize that the number of predicted events that we calculate represents a conservative estimate.