Work Description

Title: GITM 2017 Eclipse Results Open Access Deposited

http://creativecommons.org/licenses/by-nc/4.0/
Attribute Value
Methodology
  • The Global Ionosphere Thermosphere Model (GITM) was used to conduct the simulations. The input files are included. The model source code can be found at:  https://github.com/aaronjridley/GITM.
Description
  • These are modeling results of the thermospheric and ionospheric response to the solar eclipse of August 21, 2017. The results are discussed in a research paper published in the Journal of Geophysical Research (doi: 10.1029/2018JA026402) .
Creator
Depositor
  • sborda@umich.edu
Contact information
Discipline
Date coverage
  • 2017
Citations to related material
  • Cnossen, I., Ridley, A. J., Goncharenko, L. P., and Harding, B. J.. ( 2019), The response of the ionosphere‐thermosphere system to the August 21, 2017 solar eclipse. J. Geophys. Res. Space Physics, 124. https://doi.org/10.1029/2018JA026402
Resource type
Last modified
  • 08/28/2019
Published
  • 08/28/2019
DOI
  • https://doi.org/10.7302/b24g-9671
License
To Cite this Work:
Ridley, A., Cnossen, I. (2019). GITM 2017 Eclipse Results [Data set]. University of Michigan - Deep Blue. https://doi.org/10.7302/b24g-9671

Relationships

Files (Count: 3; Size: 119 GB)

Research Overview: These are modeling results of the thermospheric and ionospheric response to the solar eclipse of August 21, 2017. The results are discussed in a research paper published in the Journal of Geophysical Research (doi: 10.1029/2018JA026402) .

Methods: The Global Ionosphere Thermosphere Model (GITM) was used to conduct the simulations. The input files are included. The model source code can be found at: https://github.com/aaronjridley/GITM.

File Inventory: There are two directories of files included, one directory with the solar eclipse included, and one without. The input files are in the main directories, while the output files are in the "data" sub-directories. The output files are binary and at a one minute cadence. Visualization code can be found on github.

Definition of Terms and Variables: Please see the GITM github site for a description of the model and the JGR paper for a description of the results.

Use and Access: Please see the GITM github site for a description of the model and visualization tools and the JGR paper for a description of the results.

Suggest a Citation for the Data Set: GITM 2017 Eclipse Results.

Download All Files (To download individual files, select them in the “Files” panel above)

Total work file size of 119 GB is too large to download directly. Consider using Globus (see below).

Files are ready   Download Data from Globus
Best for data sets > 3 GB. Globus is the platform Deep Blue Data uses to make large data sets available.   More about Globus