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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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