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