Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit250-04-20020208_234300_20020209_042800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/08 |
Start Time | | 2002/02/08 23:43 |
End Time | | 2002/02/09 04:26 |
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 | | 23.82 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit250-04-20020208_234300_20020209_042800-constBx0 |
Minimum Dst Value | | -19 |
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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