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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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