Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-06-20030103_171800_20030103_220300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/03 |
Start Time | | 2003/01/03 17:18 |
End Time | | 2003/01/03 22:01 |
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 | | 15.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-06-20030103_171800_20030103_220300-constBx0 |
Minimum Dst Value | | -33 |
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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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