Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-02-20030112_104100_20030112_152600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/12 |
Start Time | | 2003/01/12 10:41 |
End Time | | 2003/01/12 15:24 |
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 | | 16.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 167.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-02-20030112_104100_20030112_152600-constBx0 |
Minimum Dst Value | | -17 |
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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