Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-04-20020629_071800_20020629_120600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/29 |
Start Time | | 2002/06/29 07:18 |
End Time | | 2002/06/29 12:04 |
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 | | -21.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-04-20020629_071800_20020629_120600-constBx0 |
Minimum Dst Value | | -2 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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