Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit291-05-20020517_165600_20020517_214100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/17 |
Start Time | | 2002/05/17 16:56 |
End Time | | 2002/05/17 21:39 |
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 | | -28.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.14 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 160.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit291-05-20020517_165600_20020517_214100-constBx0 |
Minimum Dst Value | | -16 |
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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