Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit377-07-20021208_180200_20021208_224700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/08 |
Start Time | | 2002/12/08 18:02 |
End Time | | 2002/12/08 22:45 |
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 | | 17.11 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.45 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit377-07-20021208_180200_20021208_224700-constBx0 |
Minimum Dst Value | | -34 |
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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