Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit304-03-20020617_051300_20020617_095400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/17 |
Start Time | | 2002/06/17 05:13 |
End Time | | 2002/06/17 09:52 |
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 | | -15.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit304-03-20020617_051300_20020617_095400-constBx0 |
Minimum Dst Value | | -2 |
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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