Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: michelle_mendoza_102021_4 | |
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_4 |
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.
Model values plot for GOES-10 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. |