Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit347-04-20020927_184300_20020927_232700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/27 |
Start Time | | 2002/09/27 18:43 |
End Time | | 2002/09/27 23:25 |
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 | | -2.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit347-04-20020927_184300_20020927_232700-constBx0 |
Minimum Dst Value | | -6 |
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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