Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-02-20020420_225100_20020421_033600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/20 |
Start Time | | 2002/04/20 22:51 |
End Time | | 2002/04/21 03:34 |
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 | | -6.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -29.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-02-20020420_225100_20020421_033600-constBx0 |
Minimum Dst Value | | -85 |
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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