Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit303-10-20020616_053400_20020616_101900-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 05:34 |
End Time | | 2002/06/16 10:17 |
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 | | -16.95 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit303-10-20020616_053400_20020616_101900-constBx0 |
Minimum Dst Value | | 3 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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