Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit365-02-20021109_050400_20021109_094900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/09 |
Start Time | | 2002/11/09 05:04 |
End Time | | 2002/11/09 09:47 |
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 | | 25.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.81 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 187.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit365-02-20021109_050400_20021109_094900-constBx0 |
Minimum Dst Value | | -19 |
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. |