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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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