Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-06-20030113_054500_20030113_103000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/13 |
Start Time | | 2003/01/13 05:45 |
End Time | | 2003/01/13 10:28 |
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 | | 27.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-06-20030113_054500_20030113_103000-constBx0 |
Minimum Dst Value | | -13 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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