Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit343-12-20020919_202500_20020920_010800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/19 |
Start Time | | 2002/09/19 20:25 |
End Time | | 2002/09/20 01:06 |
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 | | -1.11 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.06 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit343-12-20020919_202500_20020920_010800-constBx0 |
Minimum Dst Value | | -40 |
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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