Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Andreas_Kelling_110514_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 03, 2008 |
Start Time | | 2008/02/03 07:00 |
End Time | | 2008/02/03 12:00 |
Key Words | | 1-hour period substorms |
Model | | SWMF |
Model Version | | v20130129 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -25.81 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.22 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 0.00000 |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Andreas_Kelling_110514_1 |
Minimum Dst Value | | -37 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
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. |