Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-03-20020703_220200_20020704_024700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/03 |
Start Time | | 2002/07/03 22:02 |
End Time | | 2002/07/04 02:45 |
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 | | -18.87 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.08 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-03-20020703_220200_20020704_024700-constBx0 |
Minimum Dst Value | | 1 |
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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