MLT-averaged Plasmapause Position Calculated from the PINE Plasmasphere Model for the GEM Challenge Events

This dataset is the MLT-averaged plasmapause position calculated for the NSF GEM Challenge Events. We use the recently developed Plasma density in the Inner magnetosphere Neural network-based Empirical (PINE) model [Zhelavskaya et al., 2017]. The PINE density model was developed using neural networks and was trained on the electron density data set from the Van Allen Probes Electric and Magnetic Field Instrument Suite and Integrated Science (EMFISIS) [Kletzing et al., 2013]. The model reconstructs the plasmasphere dynamics well (with a cross-correlation of ~0.95 on the test set), and its global reconstructions of plasma density are in good agreement with the IMAGE EUV images of the global distribution of He+. We compare the electron number density value given by the PINE model with the density threshold separating plasmaspheric-like and trough-like density given by [Sheeley et al., 2001] and get the plasmapause position in each MLT. Then, we calculate the MLT-averaged plasmapause position. The. time resolution is 1 hour. These data files presenting the Magnetic Local Time (MLT)-averaged plasmapause position used in the simulations in Wang et al [2020]. The data are presented as the following three tabular ASCII files (.dat) : Lpp_PINE_Sheely_Mean_Mar15_Mar20.dat: content, column1 time [day], column 2 L [Re (Earth Radii)] Lpp_PINE_Sheely_Mean_May30_Jun02.dat: content, column1 time [day], column 2 L [Re (Earth Radii)] Lpp_PINE_Sheely_Mean_Sep17_Sep26.dat: content, column1 time [day], column 2 L [Re (Earth Radii)]

本数据集为针对美国国家科学基金会（National Science Foundation, NSF）GEM挑战赛事件计算得到的磁地方时(Magnetic Local Time, MLT)平均等离子体层顶位置。我们采用了新近研发的内磁层等离子体密度神经网络经验模型（Plasma density in the Inner magnetosphere Neural network-based Empirical, PINE）[Zhelavskaya等，2017]。该PINE密度模型基于神经网络构建，其训练数据集源自范艾伦探测器(Van Allen Probes)的电场与磁场仪器套件及综合科学(Electric and Magnetic Field Instrument Suite and Integrated Science, EMFISIS)获取的电子密度数据[Kletzing等，2013]。该模型可较好地重构等离子体层动力学过程，测试集互相关系数约为0.95，其全球等离子体密度重构结果与IMAGE极紫外(Extreme Ultraviolet, EUV)成像得到的He+全球分布图像吻合度较高。我们将PINE模型给出的电子数密度值，与[Sheeley等，2001]提出的区分类等离子体层与类槽区密度的阈值进行对比，得到各磁地方时对应的等离子体层顶位置，进而计算得到磁地方时平均的等离子体层顶位置。本数据集的时间分辨率为1小时。本数据集即Wang等[2020]模拟研究中所使用的磁地方时平均等离子体层顶位置数据。本数据集包含3个ASCII表格格式(.dat)文件，具体信息如下：
1. Lpp_PINE_Sheely_Mean_Mar15_Mar20.dat：数据列依次为第1列：时间（单位：天），第2列：L值（单位：地球半径Re）
2. Lpp_PINE_Sheely_Mean_May30_Jun02.dat：数据列依次为第1列：时间（单位：天），第2列：L值（单位：地球半径Re）
3. Lpp_PINE_Sheely_Mean_Sep17_Sep26.dat：数据列依次为第1列：时间（单位：天），第2列：L值（单位：地球半径Re）