Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit362-09-20021103_111300_20021103_155800-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 11:13 |
End Time | | 2002/11/03 15:56 |
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 | | 23.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.10 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit362-09-20021103_111300_20021103_155800-constBx0 |
Minimum Dst Value | | -57 |
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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