Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit366-12-20021113_135100_20021113_183400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/13 |
Start Time | | 2002/11/13 13:51 |
End Time | | 2002/11/13 18:32 |
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 | | 9.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit366-12-20021113_135100_20021113_183400-constBx0 |
Minimum Dst Value | | -27 |
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. |