Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit362-08-20021103_062700_20021103_111200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/03 |
Start Time | | 2002/11/03 06:27 |
End Time | | 2002/11/03 11:10 |
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 | | 21.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.13 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit362-08-20021103_062700_20021103_111200-constBx0 |
Minimum Dst Value | | -75 |
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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