Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Evgeny_Gordeev_120709_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 1 2000 |
Start Time | | 2000/01/01 00:00 |
End Time | | 2000/01/01 05:00 |
Key Words | | DT=0, Bx=3. |
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 | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 0.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Evgeny_Gordeev_120709_1 |
Minimum Dst Value | | -50 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
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. |