Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-05-20030103_123200_20030103_171700-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 12:32 |
End Time | | 2003/01/03 17:15 |
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 | | 14.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.77 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-05-20030103_123200_20030103_171700-constBx0 |
Minimum Dst Value | | -9 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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