Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Emine_Kalafatoglu_101711_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | December 31 2007 |
Start Time | | 2007/12/31 19:00 |
End Time | | 2007/12/31 21:29 |
Key Words | | substorm |
Model | | GUMICS |
Model Version | | 4-HC-1.11 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
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 | | 74.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Emine_Kalafatoglu_101711_1 |
Minimum Dst Value | | -6 |
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 IMP-8 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. |