Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Kristopher_Kersten_081610_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 4 2003 |
Start Time | | 2003/11/04 00:00 |
End Time | | 2003/11/04 23:59 |
Key Words | | 04 Nov 2003 BATS-R-US |
Model | | BATSRUS with RCM |
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 | | -19.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.30 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 166.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Kristopher_Kersten_081610_1 |
Minimum Dst Value | | 8 |
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 Polar 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. |