Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Vassilis_Angelopoulos_061708_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 2 2008 |
Start Time | | 2008/02/02 07:30 |
End Time | | 2008/02/02 09:00 |
Key Words | | THEMIS, Magnetotail |
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 | | -25.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 69.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Vassilis_Angelopoulos_061708_3 |
Minimum Dst Value | | -36 |
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 THEMIS-E 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. |