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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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