Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit390-06-20030108_113200_20030108_161700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/08 |
Start Time | | 2003/01/08 11:32 |
End Time | | 2003/01/08 16:15 |
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 | | 15.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.51 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 168.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit390-06-20030108_113200_20030108_161700-constBx0 |
Minimum Dst Value | | 1 |
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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