Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Andrey_Samsonov_020811_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | July 29 2002 |
Start Time | | 2002/07/29 13:00 |
End Time | | 2002/07/29 14:00 |
Key Words | | interplanetary shock |
Model | | LFM |
Model Version | | LTR-2_1_1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
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 | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 241.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Andrey_Samsonov_020811_1 |
Minimum Dst Value | | -13 |
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 Geotail 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. |