Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit376-09-20021206_182200_20021206_230600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/06 |
Start Time | | 2002/12/06 18:22 |
End Time | | 2002/12/06 23:04 |
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 | | 17.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.10 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit376-09-20021206_182200_20021206_230600-constBx0 |
Minimum Dst Value | | -6 |
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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