Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Anthony_Rogers_012324_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | |
Start Time | | 2020/08/02 22:00 |
End Time | | 2020/08/03 04:00 |
Key Words | | Substorm, MMS, THEMIS |
Model | | SWMF |
Model Version | | v20230424 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 19.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Anthony_Rogers_012324_1 |
Minimum Dst Value | | -19 |
SW Source | | OMNI |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 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. |