Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit325-04-20020806_101100_20020806_145600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/06 |
Start Time | | 2002/08/06 10:11 |
End Time | | 2002/08/06 14:54 |
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 | | -10.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.31 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 148.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit325-04-20020806_101100_20020806_145600-constBx0 |
Minimum Dst Value | | -12 |
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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