Work Description
Title: Stormtime energetics: Energy transport across the magnetopause in a global MHD simulation, simulation and analysis data Open Access Deposited
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(2022). Stormtime energetics: Energy transport across the magnetopause in a global MHD simulation, simulation and analysis data [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/nxyj-7062
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Files (Count: 33; Size: 358 GB)
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1_README.md | 2022-02-07 | 2022-02-28 | 7.51 KB | Open Access |
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data_files01.zip | 2022-02-08 | 2022-02-08 | 71 GB | Open Access |
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data_files02.zip | 2022-02-08 | 2022-02-08 | 35.6 GB | Open Access |
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data_files03.zip | 2022-02-08 | 2022-02-08 | 36.6 GB | Open Access |
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data_files04.zip | 2022-02-08 | 2022-02-08 | 36.7 GB | Open Access |
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data_files05.zip | 2022-02-08 | 2022-02-08 | 35.8 GB | Open Access |
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data_files06.zip | 2022-02-08 | 2022-02-08 | 35.7 GB | Open Access |
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data_files07.zip | 2022-02-08 | 2022-02-08 | 35.3 GB | Open Access |
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data_files08.zip | 2022-02-08 | 2022-02-08 | 35.7 GB | Open Access |
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data_files09.zip | 2022-02-08 | 2022-02-08 | 35.4 GB | Open Access |
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IMF.dat | 2022-02-08 | 2022-02-08 | 390 KB | Open Access |
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energetics.map | 2022-02-08 | 2022-02-08 | 185 KB | Open Access |
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geoindex_e20140218-060000.log | 2022-02-08 | 2022-02-08 | 308 KB | Open Access |
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global_energetics.zip | 2022-02-08 | 2022-02-08 | 189 KB | Open Access |
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log_e20140218-060000.log | 2022-02-08 | 2022-02-08 | 6.98 MB | Open Access |
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main.py | 2022-02-08 | 2022-02-08 | 4.97 KB | Open Access |
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multiproc_main.py | 2022-02-08 | 2022-02-08 | 7.72 KB | Open Access |
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omni.h5 | 2022-02-08 | 2022-02-08 | 1.9 MB | Open Access |
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output.zip | 2022-02-08 | 2022-02-08 | 28.3 MB | Open Access |
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pytecplot_install_jan2022.pdf | 2022-02-08 | 2022-02-08 | 155 KB | Open Access |
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sat_cluster1_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_cluster2_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_cluster3_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_cluster4_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_geotail_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_goes13_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_rbspb_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_themisa_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_themisb_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_themisc_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_themisd_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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sat_themise_n00001500.sat | 2022-02-08 | 2022-02-08 | 8.68 MB | Open Access |
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package_structure.md | 2022-02-28 | 2022-02-28 | 2.49 KB | Open Access |
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studying a geomagnetic storm event on Feb 18-20 2014, specifically
looking at the energy transfer occuring across the magnetopause
surface
#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:
#
Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
alabaster 0.7.12 pypi_0 pypi
babel 2.9.1 pypi_0 pypi
backcall 0.2.0 pypi_0 pypi
basesystem-amzn2-aarch64 10.0 5
binutils_impl_linux-64 2.36.1 h193b22a_2 conda-forge
bzip2 1.0.8 hb9a14ef_8 intel
ca-certificates 2021.5.30 ha878542_0 conda-forge
certifi 2021.5.30 py38h578d9bd_0 conda-forge
charset-normalizer 2.0.6 pypi_0 pypi
cycler 0.10.0 pypi_0 pypi
data 0.4 pypi_0 pypi
datetime 4.3 pypi_0 pypi
decorator 5.1.0 pypi_0 pypi
docutils 0.17.1 pypi_0 pypi
filesystem-amzn2-aarch64 3.2 5
flatbuffers 2.0 pypi_0 pypi
funcsigs 1.0.2 pypi_0 pypi
future 0.18.2 pypi_0 pypi
gcc 11.2.0 h702ea55_1 conda-forge
gcc_impl_linux-64 11.2.0 h82a94d6_9 conda-forge
glibc-amzn2-aarch64 2.26 5
glibc-common-amzn2-aarch64 2.26 5
glibc-minimal-langpack-amzn2-aarch64 2.26 5
h5py 3.4.0 pypi_0 pypi
imagesize 1.2.0 pypi_0 pypi
intelpython 2021.3.0 7 intel
ipython 7.28.0 pypi_0 pypi
jedi 0.18.0 pypi_0 pypi
jinja2 3.0.1 pypi_0 pypi
kernel-headers_linux-64 2.6.32 he073ed8_14 conda-forge
kiwisolver 1.3.2 pypi_0 pypi
latex 0.7.0 pypi_0 pypi
ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge
libffi 3.3 13 intel
libgcc-devel_linux-64 11.2.0 h0952999_9 conda-forge
libgcc-ng 11.2.0 h1d223b6_9 conda-forge
libgomp 11.2.0 h1d223b6_9 conda-forge
libsanitizer 11.2.0 he4da1e4_9 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_9 conda-forge
markupsafe 2.0.1 pypi_0 pypi
matplotlib 3.4.3 pypi_0 pypi
matplotlib-inline 0.1.3 pypi_0 pypi
matplotlib-label-lines 0.4.1 pypi_0 pypi
networkx 2.6.3 pypi_0 pypi
numexpr 2.7.3 pypi_0 pypi
numpydoc 1.1.0 pypi_0 pypi
openssl 1.1.1l h7f98852_0 conda-forge
packaging 21.0 pypi_0 pypi
parso 0.8.2 pypi_0 pypi
pexpect 4.8.0 pypi_0 pypi
pickleshare 0.7.5 pypi_0 pypi
pillow 8.3.2 pypi_0 pypi
pip 21.1.1 py38ha59826b_0 intel
progress 1.6 pypi_0 pypi
prompt-toolkit 3.0.20 pypi_0 pypi
protobuf 3.18.0 pypi_0 pypi
ptyprocess 0.7.0 pypi_0 pypi
pydash 5.0.2 pypi_0 pypi
pyforecasttools 1.1.1 pypi_0 pypi
pygments 2.10.0 pypi_0 pypi
pyparsing 2.4.7 pypi_0 pypi
pytecplot 1.4.0 pypi_0 pypi
python 3.8.11 ha27d850_1 intel
python-dateutil 2.8.2 pypi_0 pypi
python_abi 3.8 2_cp38 conda-forge
pyzmq 22.3.0 pypi_0 pypi
requests 2.26.0 pypi_0 pypi
scipy 1.7.1 pypi_0 pypi
setup-amzn2-aarch64 2.8.71 5
setuptools 52.0.0 py38h0d5a7d4_0 intel
shutilwhich 1.1.0 pypi_0 pypi
six 1.16.0 pypi_0 pypi
snowballstemmer 2.1.0 pypi_0 pypi
spacepy 0.2.2 pypi_0 pypi
sphinx 4.2.0 pypi_0 pypi
sphinxcontrib-applehelp 1.0.2 pypi_0 pypi
sphinxcontrib-devhelp 1.0.2 pypi_0 pypi
sphinxcontrib-htmlhelp 2.0.0 pypi_0 pypi
sphinxcontrib-jsmath 1.0.1 pypi_0 pypi
sphinxcontrib-qthelp 1.0.3 pypi_0 pypi
sphinxcontrib-serializinghtml 1.1.5 pypi_0 pypi
sqlite 3.35.5 hb9a14ef_1 intel
sysroot_linux-64 2.12 he073ed8_14 conda-forge
system-release-amzn2-aarch64 2 5
tables 3.6.1 pypi_0 pypi
tcl 8.6.10 1 intel
tempdir 0.7.1 pypi_0 pypi
tex 1.8 pypi_0 pypi
tk 8.6.10 h8e2d9d6_3 intel
traitlets 5.1.0 pypi_0 pypi
tzdata-amzn2-aarch64 2020d 5
urllib3 1.26.7 pypi_0 pypi
wcwidth 0.2.5 pypi_0 pypi
wheel 0.36.2 py38ha11c92b_0 intel
xz 5.2.5 h74280d8_2 intel
zlib 1.2.11.1 h047b5d8_3 intel
zope-interface 5.4.0 pypi_0 pypi