Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit278-04-20020416_141200_20020416_185600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/16 |
Start Time | | 2002/04/16 14:12 |
End Time | | 2002/04/16 18:54 |
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 | | -20.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -17.44 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 197.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit278-04-20020416_141200_20020416_185600-constBx0 |
Minimum Dst Value | | -4 |
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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