Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit394-12-20030119_042900_20030119_091200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/19 |
Start Time | | 2003/01/19 04:29 |
End Time | | 2003/01/19 09:10 |
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 | | 29.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 126.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit394-12-20030119_042900_20030119_091200-constBx0 |
Minimum Dst Value | | -26 |
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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