Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWMF-01_2001-08-TP01_022723_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | |
Start Time | | 2001/08/31 00:00 |
End Time | | 2001/09/02 00:00 |
Key Words | | SWMF-01_2001-08-TP01 |
Model | | SWMF |
Model Version | | v20211020 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 5.45 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | -1.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | SWMF-01_2001-08-TP01_022723_1 |
Minimum Dst Value | | -40 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-9 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. |