Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit299-10-20020606_171400_20020606_215800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/06 |
Start Time | | 2002/06/06 17:14 |
End Time | | 2002/06/06 21:56 |
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 | | -30.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.53 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 159.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit299-10-20020606_171400_20020606_215800-constBx0 |
Minimum Dst Value | | -13 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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