Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ilja_Honkonen_020410_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 18 2004 |
Start Time | | 2004/02/18 14:00 |
End Time | | 2004/02/19 01:00 |
Key Words | | 4 substorms |
Model | | LFM |
Model Version | | 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 | | 95.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Ilja_Honkonen_020410_1 |
Minimum Dst Value | | -28 |
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 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. |