Dissecting Earth's Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event

Brenner, Austin M

Work Description

Title: Dissecting Earth's Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event Open Access Deposited

Attribute	Value
Methodology	Simulation data was obtained using the Space Weather Modeling Framework in Geospace configuration ( https://clasp.engin.umich.edu/research/theory-computational-methods/space-weather-modeling-framework/). The analysis was performed on the data using Tecplot on the University of Michigan's Great Lakes cluster. The plotting of the analysis results were done using python.
Description	Results of computer simulation of near Earth space is looked at in a new way to understand how energy moves around the global system. It is found that in addition to a pathway of energy from the outside into the system and back again there is an internal loop which recirculates energy. These new methods will greatly improve our understanding how the whole magnetosphere system evolves and will help address evolution of processes that have space weather impacts.
Creator	Brenner, Austin M
Creator ORCID	https://orcid.org/0000-0002-2059-354X
Depositor	aubr@umich.edu
Contact information	aubr@umich.edu
Discipline	Science Engineering
Funding agency	National Science Foundation (NSF)
Keyword	Energy flux geospace magnetopause magnetosphere poynting flux reconnection
Citations to related material	Austin Brenner, Tuija I. Pulkkinen, Qusai Al Shidi, et al. Dissecting Earth’s Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event. ESS Open Archive . August 04, 2023.
Resource type	Dataset
Last modified	11/14/2023
Published	10/20/2023
Language	.plt binary tecplot files ascii text files hdf5 processed data files python pytecplot scripts for controlling tecplot python plotting scripts using pandas with matplotlib
DOI	https://doi.org/10.7302/wveb-jk73
License	http://creativecommons.org/licenses/by-nc/4.0/

To Cite this Work:
Brenner, A. M. (2023). Dissecting Earth's Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/wveb-jk73

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Files (Count: 4; Size: 619 GB)

Title	Original Upload	Last Modified	File Size	Access	Actions
README.md	2023-10-18	2023-10-18	10.8 KB	Open Access	View Details Download
package_structure.md	2023-10-16	2023-10-16	4 KB	Open Access	View Details Download
tools_and_scripts.tar.gz	2023-10-16	2023-10-16	279 MB	Open Access	View Details Download
DBD_Brenner_magnetosphere.zip	2023-10-17	2023-10-17	619 GB	Open Access	View Details Download Data from Globus

Date: 18 October, 2023

Dataset Title: Data to Support "Dissecting Earth's Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event"

Dataset Creators: A. Brenner

Dataset Contact: Austin Brenner aubr@umich.edu

Key Points:

Simulation results are used to quantify the global energy dynamics of Earth's magneotsphere in terms of energy pathways.
Externally during main phase most energy lost is from the closed region due to magnetopause erosion while most energy gained is through the lobe boundary.
Internally, large amounts of energy is recirculated at the cusp from the closed to open field, then passed back to the closed region in the tail.

Abstract:We present new analysis methods of 3D MHD output data from the Space Weather Modeling Framework during a simulated storm event. Earth's magnetosphere is identified in the simulation domain and divided based on magnetic topology and the bounding magnetopause definition.
Volume energy contents and surface energy fluxes are analyzed for each subregion to track the energy transport in the system as the driving solar wind conditions change. Two energy pathways are revealed, one external and one internal.
The external pathway between the magnetosheath and magnetosphere has magnetic energy flux entering the lobes and escaping through the closed field region and is consistent with previous work and theory.
The internal pathway, which has never been studied in this manner, reveals magnetically dominated energy recirculating between open and closed field lines. The energy enters the lobes across the dayside magnetospheric cusps and escapes the lobes through the nightside plasmasheet boundary layer. This internal circulation directly controls the energy content in the lobes and the partitioning of the total energy between lobes and closed field line regions. Qualitative analysis of four-field junction neighborhoods indicate the internal circulation pathway is controlled via the reconnection X-line(s), and by extension, the IMF orientation. These results allow us to make clear and quantifiable arguments about the energy dynamics of Earth's magnetosphere, and the role of the lobes as an expandable reservoir that cannot retain energy for long periods of time but can grow and shrink in energy content due to mismatch between incoming and outgoing energy flux.

Methodology: The simulation output data was collected from the SWMF (https://github.com/MSTEM-QUDA/SWMF). Output data is included here and was processed using the python tools described in package_structure.md.

Contents:

tools_and_scripts.tar.gz: contains python tools described in package_structure.md, and additional input and output files in jgr2023, which includes it's own README file
DBD_Brenner_Magnetosphere.zip: contains binary tecplot .plt output files of 3D BATS-R-US output from the SWMF simulation. Details on how to install tecplot are below, and processing tools can be found in tools_and_scripts.tar.gz/global_energetics/.

Related Publication: A. Brenner, T. I. Pulkkinen, Q. Al Shidi, G. Toth, Dissecting Earth's Magnetosphere: 3D Energy Transport in a Simulation of a Real Storm Event. JGR Space Physics, 2023. DOI:10.22541/essoar.169111711

Use and Access: This data set is made available under a Creative Commons Public Domain liscense (CC0 1.0).

#This work was done using anaconda environment/package manager tool

https://www.anaconda.com

#The primary tool used for analysis is Tecplot, specifically

Tecplot360ex2020r1 it is a licsenced software, details can be found

at https://www.tecplot.com/products/tecplot-360/

#Once tecplot is installed and the licsence is obtained, in order to

run pytecplot you will need to follow the installation procedure, a

hardcopy of the installation procedure is included here but the most

recent should be available at https://www.tecplot.com/docs/pytecplot/install.html

Note that pytecplot itself is simply installed with pip and is listed

in the included packages below

#Not all packages listed here are neccessarily used and alternate

versions were not tested since this is for archival purposes only

#pip was used to install all python packages, for details on what

specific packages are used see the import statements in the python

scripts

packages in environment:

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