Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-01-20020420_180500_20020420_225000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/20 |
Start Time | | 2002/04/20 18:05 |
End Time | | 2002/04/20 22:48 |
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 | | -19.49 |
Dipole Tilt, in Y-Z GSE plane, deg | | -29.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-01-20020420_180500_20020420_225000-constBx0 |
Minimum Dst Value | | -102 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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