Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit366-04-20021111_234300_20021112_042800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/11 |
Start Time | | 2002/11/11 23:43 |
End Time | | 2002/11/12 04:26 |
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 | | 25.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.28 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 181.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit366-04-20021111_234300_20021112_042800-constBx0 |
Minimum Dst Value | | -5 |
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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