Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit376-02-20021205_090700_20021205_135100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/05 |
Start Time | | 2002/12/05 09:07 |
End Time | | 2002/12/05 13:49 |
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 | | 21.01 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.98 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 144.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit376-02-20021205_090700_20021205_135100-constBx0 |
Minimum Dst Value | | -38 |
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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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