Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit303-12-20020616_150600_20020616_194900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/16 |
Start Time | | 2002/06/16 15:06 |
End Time | | 2002/06/16 19:47 |
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 | | -33.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit303-12-20020616_150600_20020616_194900-constBx0 |
Minimum Dst Value | | -10 |
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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