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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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