Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: DIBYENDU_SUR_122419_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 17, 2013 |
Start Time | | 2013/03/17 00:00 |
End Time | | 2013/03/19 00:00 |
Key Words | | Solar wind |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -4.69 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.86 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 124.50000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | DIBYENDU_SUR_122419_1 |
Minimum Dst Value | | -132 |
SW Source | | ACE-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-A for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |