Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-05-20021201_051700_20021201_100200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/01 |
Start Time | | 2002/12/01 05:17 |
End Time | | 2002/12/01 10:00 |
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 | | 29.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-05-20021201_051700_20021201_100200-constBx0 |
Minimum Dst Value | | -39 |
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. |