Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit333-03-20020825_062400_20020825_110900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/25 |
Start Time | | 2002/08/25 06:24 |
End Time | | 2002/08/25 11:07 |
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 | | -6.55 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.06 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 182.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit333-03-20020825_062400_20020825_110900-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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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