Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-05-20021201_051700_20021201_100200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/01 |
Start Time | | 2002/12/01 05:17 |
End Time | | 2002/12/01 10:00 |
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 | | 29.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-05-20021201_051700_20021201_100200-constBx0 |
Minimum Dst Value | | -39 |
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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