Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit273-03-20020404_120200_20020404_164700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/04 |
Start Time | | 2002/04/04 12:02 |
End Time | | 2002/04/04 16:45 |
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 | | -13.92 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.66 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 216.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit273-03-20020404_120200_20020404_164700-constBx0 |
Minimum Dst Value | | -17 |
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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