Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: emine_kalafatoglu_021820_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 31, 2007 |
Start Time | | 2007/12/31 19:00 |
End Time | | 2007/12/31 21:00 |
Key Words | | substorm |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -14.66 |
Dipole Tilt, in Y-Z GSE plane, deg | | 9.72 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 74.20000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | emine_kalafatoglu_021820_2 |
Minimum Dst Value | | -6 |
SW Source | | ACE-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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