Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-02-20021113_232000_20021114_040500-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 23:20 |
End Time | | 2002/11/14 04:03 |
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 | | 25.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.84 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-02-20021113_232000_20021114_040500-constBx0 |
Minimum Dst Value | | -31 |
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 GOES-12 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. |