Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit336-11-20020902_235000_20020903_043500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/02 |
Start Time | | 2002/09/02 23:50 |
End Time | | 2002/09/03 04:33 |
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 | | -0.03 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 176.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit336-11-20020902_235000_20020903_043500-constBx0 |
Minimum Dst Value | | -8 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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