Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit363-09-20021105_201900_20021106_010400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/05 |
Start Time | | 2002/11/05 20:19 |
End Time | | 2002/11/06 01:02 |
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 | | 16.07 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.75 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit363-09-20021105_201900_20021106_010400-constBx0 |
Minimum Dst Value | | -46 |
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. |