Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit291-07-20020518_022800_20020518_071300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/18 |
Start Time | | 2002/05/18 02:28 |
End Time | | 2002/05/18 07:11 |
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 | | -9.89 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.66 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit291-07-20020518_022800_20020518_071300-constBx0 |
Minimum Dst Value | | -9 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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