Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emily_Hyatt_022412_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | June 21, 2004 |
Start Time | | 2004/06/21 03:40 |
End Time | | 2004/06/21 04:00 |
Key Words | | MagnetoSheath |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 13.62 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 120.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emily_Hyatt_022412_4 |
Minimum Dst Value | | 16 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-12 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. |