Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit303-12-20020616_150600_20020616_194900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/16 |
Start Time | | 2002/06/16 15:06 |
End Time | | 2002/06/16 19:47 |
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 | | -33.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit303-12-20020616_150600_20020616_194900-constBx0 |
Minimum Dst Value | | -10 |
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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