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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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