Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit300-12-20020609_114600_20020609_163000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/09 |
Start Time | | 2002/06/09 11:46 |
End Time | | 2002/06/09 16:28 |
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 | | -30.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 161.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit300-12-20020609_114600_20020609_163000-constBx0 |
Minimum Dst Value | | -12 |
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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