Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Xiangning_Chu_080615_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 03, 2008 |
Start Time | | 2008/03/03 02:00 |
End Time | | 2008/03/03 04:00 |
Key Words | | Substorm |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -15.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | 29.83 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 67.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Xiangning_Chu_080615_1 |
Minimum Dst Value | | -30 |
SW Source | | DSCOVR-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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)
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