Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-06-20020629_165600_20020629_214400-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 16:56 |
End Time | | 2002/06/29 21:42 |
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 | | -31.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-06-20020629_165600_20020629_214400-constBx0 |
Minimum Dst Value | | 5 |
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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