2026-05-25T17:43:36Zhttp://doidb.wdc-terra.org/oaip/oai

oai:doidb.wdc-terra.org:68242022-10-14T14:59:12ZDOIDBDOIDB.GFZ

false4DOIDB.GFZ 10.5880/GFZ.2.8.2020.001 Wang, Dedong Dedong Wang 0000-0002-4213-4037 GFZ German Research Centre for Geosciences, Potsdam, Germany Shprits, Yuri Yuri Shprits 0000-0002-9625-0834 GFZ German Research Centre for Geosciences, Potsdam, Germany Zhelavskaya, Irina Irina Zhelavskaya 0000-0002-7029-5372 GFZ German Research Centre for Geosciences, Potsdam, Germany GFZ Data Services 2020 Plasmasphere Plasmapause EARTH SCIENCE > SUN-EARTH INTERACTIONS > IONOSPHERE/MAGNETOSPHERE DYNAMICS > PLASMA WAVES EARTH SCIENCE SERVICES > MODELS > SOLAR-ATMOSPHERE/SPACE-WEATHER MODELS Shprits, Yuri Yuri Shprits 0000-0002-9625-0834 GFZ German Research Centre for Geosciences, Potsdam, Germany Wang, Dedong GFZ German Research Centre for Geosciences, Potsdam, Germany Shprits, Yuri GFZ German Research Centre for Geosciences, Potsdam, Germany Zhelavskaya, Irina GFZ German Research Centre for Geosciences, Potsdam, Germany 2013-09-17/2013-09-26 2013-05-30/2013-06-02 2013-03-15/2013-03-20 Dataset 10.1029/2019JA027422 10.1007/s11214-013-9993-6 10.1029/2000JA000286 10.1002/2017JA024406 CC BY 4.0 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)]




All MLT, L [3,6]Re -180 180 -90 90 All MLT, L [3,6]Re -180 180 -90 90 All MLT, L [3,6]Re -180 180 -90 90