Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit286-10-20020506_192500_20020507_001000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/06 |
Start Time | | 2002/05/06 19:25 |
End Time | | 2002/05/07 00:08 |
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 | | -20.96 |
Dipole Tilt, in Y-Z GSE plane, deg | | -27.36 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 194.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit286-10-20020506_192500_20020507_001000-constBx0 |
Minimum Dst Value | | -31 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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