Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit304-06-20020617_191900_20020618_000000-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 19:19 |
End Time | | 2002/06/17 23:58 |
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 | | -26.61 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.53 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit304-06-20020617_191900_20020618_000000-constBx0 |
Minimum Dst Value | | 8 |
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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