Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit304-11-20020618_184900_20020618_233000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/18 |
Start Time | | 2002/06/18 18:49 |
End Time | | 2002/06/18 23:28 |
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 | | -27.67 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit304-11-20020618_184900_20020618_233000-constBx0 |
Minimum Dst Value | | -2 |
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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