Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit304-03-20020617_051300_20020617_095400-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 05:13 |
End Time | | 2002/06/17 09:52 |
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 | | -15.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit304-03-20020617_051300_20020617_095400-constBx0 |
Minimum Dst Value | | -2 |
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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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