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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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