Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit273-12-20020406_065600_20020406_113500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/06 |
Start Time | | 2002/04/06 06:56 |
End Time | | 2002/04/06 11:33 |
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 | | -2.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit273-12-20020406_065600_20020406_113500-constBx0 |
Minimum Dst Value | | 5 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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