Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit261-03-20020306_225700_20020307_034100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/03/06 |
Start Time | | 2002/03/06 22:57 |
End Time | | 2002/03/07 03:39 |
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 | | 12.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit261-03-20020306_225700_20020307_034100-constBx0 |
Minimum Dst Value | | -20 |
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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