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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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