Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit279-12-20020420_131600_20020420_180000-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 13:16 |
End Time | | 2002/04/20 17:58 |
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 | | -21.56 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit279-12-20020420_131600_20020420_180000-constBx0 |
Minimum Dst Value | | -103 |
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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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