Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit343-10-20020919_105300_20020919_153800-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 10:53 |
End Time | | 2002/09/19 15:36 |
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 | | -8.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit343-10-20020919_105300_20020919_153800-constBx0 |
Minimum Dst Value | | -25 |
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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