Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: michelle_mendoza_102021_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 01, 2000 |
Start Time | | 2000/01/01 00:00 |
End Time | | 2000/01/03 00:00 |
Key Words | | dream |
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 | | -26.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.33 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.60000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | michelle_mendoza_102021_1 |
Minimum Dst Value | | -50 |
SW Source | | ACE-L2 |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Diagnostic indices for this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |