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