Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit390-09-20030109_015000_20030109_063500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/09 |
Start Time | | 2003/01/09 01:50 |
End Time | | 2003/01/09 06:33 |
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 | | 31.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 176.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit390-09-20030109_015000_20030109_063500-constBx0 |
Minimum Dst Value | | 0 |
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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