Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Adam_Liebers_080923_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | September 30, 2000 |
Start Time | | 2000/09/30 01:00 |
End Time | | 2000/09/30 10:00 |
Key Words | | Sep30_2000_Ohtani |
Model | | LFM |
Model Version | | LTR-2_1_5 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -9.21 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.74 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 0 |
F10.7 | | 194.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Adam_Liebers_080923_2 |
Minimum Dst Value | | -63 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
|
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. |