Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-06-20030113_054500_20030113_103000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/13 |
Start Time | | 2003/01/13 05:45 |
End Time | | 2003/01/13 10:28 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 27.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-06-20030113_054500_20030113_103000-constBx0 |
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 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. |