Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit393-12-20030116_191500_20030116_235900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/16 |
Start Time | | 2003/01/16 19:15 |
End Time | | 2003/01/16 23:57 |
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 | | 18.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.09 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 139.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit393-12-20030116_191500_20030116_235900-constBx0 |
Minimum Dst Value | | -12 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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