Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit329-03-20020815_175400_20020815_223800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/15 |
Start Time | | 2002/08/15 17:54 |
End Time | | 2002/08/15 22:36 |
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 | | -20.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.28 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 215.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit329-03-20020815_175400_20020815_223800-constBx0 |
Minimum Dst Value | | -38 |
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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