Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Joe_Borovsky_051809_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 16 2003 |
Start Time | | 2003/10/16 00:00 |
End Time | | 2003/10/16 06:00 |
Key Words | | AmblesideOct16 |
Model | | BATSRUS |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -13.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.40 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 94.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Joe_Borovsky_051809_1 |
Minimum Dst Value | | -51 |
SW Source | | DSCOVR-realtime |
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. |