The outputs include the steady state solutions for all Galileo flybys, the particle information for plotting the distribution functions near the reconnection site, the particle and field data for mapping the energetic flux densities, and 3D files for visualizing the whole simulation domain. More details can be found in Readme.txt.
SWMF is used to study the segmentation of SED plume into polar cap patches during the geomagnetic storm on Sep 7, 2017. The database includes the 3D output in the upper atmosphere from GITM, the 2D output from Ionospheric Electrodynamics (IE) and 3D output from BATSRUS. The output from GITM can be read with thermo_batch_new.pro. The output from IE can be opened with Spacepy at https://pythonhosted.org/SpacePy/. The output from BATSRUS can be opened with tecplot.
More details can be found in Readme.txt.
The data corresponds to outputs from the Mars Global Ionosphere Thermosphere Model (M-GITM), the multi-species magnetohydrodynamics (MS-MHD) and multi-fluid magnetohydrodynamics (MF-MHD) codes used during the study presented in "Multi-species and multi-fluid MHD approaches for the study of ionospheric escape at Mars" by Regoli et al. and Dataset citation:
Regoli, L.H. (2018). Model outputs for "Multi-species and multi-fluid MHD approaches for the study of
ionospheric escape at Mars" [Data set]. University of Michigan Deep Blue Data Repository. https://doi.org/10.7302/Z2GH9G49
Regoli, L.H., Dong, C., Ma, Y.J., Dubinin, E., Manchester, W.B., Bougher, S.W., & Welling, D.T. (2018). Multispecies and multiﬂuid MHD approaches for the study of ionospheric escape at Mars. Journal of Geophysical Research: Space Physics, 123. https://doi.org/10.1029/2017JA025117
The modeling research conducted to produce this dataset focuses on the solar wind dynamic pressure drop events and how they affect the Earth's intrinsically coupled Magnetosphere, Ionosphere and Thermosphere systems. This study specifically focuses on the 11 June 2017 event, where the solar wind dynamic pressure dropped significantly following a period of higher pressure. We model the response to this pressure drop using University of Michigan Space Weather Modeling Framework ( http://csem.engin.umich.edu/tools/swmf/). The simulation results were created using BATS-R-US and GITM models. The observational data required for model comparisons were taken from OMNI ( https://omniweb.gsfc.nasa.gov) and CDAWeb ( https://cdaweb.gsfc.nasa.gov/sp_phys/) Databases.