Work Description

Title: MHD-AEPIC simulation for bursty bulk flows Open Access Deposited

h
Attribute Value
Methodology
  • This dataset is generated by the MHD with adaptively embedded particle-in-cell (MHD-AEPIC) model developed at the University of Michigan.
Description
  • Bursty bulk flows (BBFs) are identified as the fast earthward-propagating flows from magnetic reconnection in Earth's magnetotail. BBFs are related to particle energization process reported by satellite observations. For the first time, we use a novel numerical model that simulates kinetic physics directly in a global model. The energization of the electrons associated with BBF is demonstrated by the model. The electron velocity distribution functions (VDFs) extracted from multiple locations associated with BBF demonstrate good agreements with the observations. The energy-dependent electron pitch angle distribution at the leading part of the BBF can be explained by the enhancement of the local magnetic field.
Creator
Creator ORCID
Depositor
  • xtwang@umich.edu
Contact information
Discipline
Resource type
Last modified
  • 02/02/2024
Published
  • 02/02/2024
DOI
  • https://doi.org/10.7302/2yqp-7q96
License
To Cite this Work:
Xiantong Wang. (2024). MHD-AEPIC simulation for bursty bulk flows [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/2yqp-7q96

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Files (Count: 5; Size: 629 GB)

MHD-AEPIC simulation for bursty bulk flows

Creator: Xiantong Wang, xtwang@umich.edu, 01/31/2024

This data set contains the simulation results that are used to produce the figures in the manuscript: Xiantong Wang et al. "Electron energization with bursty bulk flows: MHD (MagnetoHydroDynamics) with Adaptively Embedded Particle-in-Cell (MHD-AEPIC) Simulation".
MHD-AEPIC is a physical based model that is capable of conducting multi-scale global Earth's magnetosphere simulation.
The detailed description of the MHD-AEPIC model can be found in the paper:

Wang, X., Chen, Y., & Tóth, G. (2022). Global magnetohydrodynamic magnetosphere simulation with an adaptively embedded particle-in-cell model. Journal of Geophysical Research: Space Physics, 127, e2021JA030091. https://doi.org/10.1029/2021JA030091.

The .plt file is the binary file for Tecplot software and the .lay file is the plotting script opened by Tecplot to generate figures, respectively.
The .dat and .sat file ares ascii files that can be read by most major programming languages. In this work, they are visualized using Python scripts.
The .ipynb files can be opened by Jupyter notebook software.

The code generating the simulation data is the Space Weather Modeling Framework(SWMF) https://github.com/SWMFsoftware/SWMF developed in the University of Michigan, the SWMF is a combination of multiple components, the code versions (date and commmit hash #) of each components are listed below:

Component Date Commit Hash
SWMF 2022-11-30 90af2e1
GM/BATSRUS 2022-12-05 04bca33
GM/BATSRUS/srcBATL 2022-11-21 b472a75
PC/FLEKS 2022-11-30 a562009
IM/RCM2 2022-01-16 0f7beff
RB/RBE 2022-03-11 ff449c1
IE/Ridley_serial 2022-11-30 e4ca15a
share 2022-11-30 15698e3
util 2022-11-30 07a3111
util/AMREX 2022-07-11 f3bcaba

Figure 1

This Panel (a) is generated by Tecplot. The data file is 3d__var_4_t20170516133000_n00316753.plt and the Tecplot layout file is overlook.lay.
Panel (b) is plotted by Python script in plot_satellite.ipynb, the data source files are mms1_obs_field.dat, mms1_obs_velocity.dat and sat_mms1_traj_re.sat. Panel (c) is plotted by Python script in plot_solarwind.ipynb , the data source files are IMF_20170516.dat and AE_obs.dat.

Figure 2

This figure is the comparison between the model outputs and observations. The plot is generated by the Jupyter Notebook plot_pyspedas.ipynb.
Notice that in this jupyter notebook, a python package pyspedas was imported and the satellite observational data will be downloaded automatically.

Figure 3

This figure is the illustration of the evolution of the global structure of the BBF, and the associated electron velocity distribution functions.
Panels (a)-(d) are generated by Tecplot. The layout files and corresponding data files are listed below:

Time Layout file Data files
13:49 t1349_bx0.lay 3d__var_4_t20170516134900_n00356680.plt, 3d_var_region0_2_t00024900_n00101400.plt
13:50 t1350_bx0.lay 3d__var_4_t20170516135000_n00358779_new.plt, 3d_var_region0_2_t00025000_n00102000_new.plt
13:51 t1351_bx0.lay 3d__var_4_t20170516135100_n00360878.plt, 3d_var_region0_2_t00025100_n00102600.plt
13:52 t1352_bx0.lay 3d__var_4_t20170516135200_n00362976.plt, 3d_var_region0_2_t00025200_n00103200.plt

The particle data is saved in 3 zip files started with 3d_particle_region0, and the plotting script is in plot_vdf_electron_paper.ipynb.

Figure 4

This figure demonstrates the electron pitch angle distributions associated with BBF. Panels (a1)-(a3) and (b1)-(b2) are plotted with the particle data in Figure 3 (3 zip files started with 3d_particle_region0), and the plotting script is in pitch_angle_paper_1351.ipynb. Panel (c) is plotted by plot_fpr.ipynb. The associated data files are line_1349.dat, line_1350_1.dat and line_1351.dat.

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