Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit368-04-20021116_175600_20021116_224000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/16 |
Start Time | | 2002/11/16 17:56 |
End Time | | 2002/11/16 22:38 |
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 | | 13.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.16 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 194.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit368-04-20021116_175600_20021116_224000-constBx0 |
Minimum Dst Value | | -28 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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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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)
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