Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-06-20020421_175500_20020421_224000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/21 |
Start Time | | 2002/04/21 17:55 |
End Time | | 2002/04/21 22:38 |
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 | | -20.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | -29.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-06-20020421_175500_20020421_224000-constBx0 |
Minimum Dst Value | | -41 |
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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