Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit307-04-20020624_120200_20020624_164900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/24 |
Start Time | | 2002/06/24 12:02 |
End Time | | 2002/06/24 16:47 |
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 | | -31.81 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.51 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit307-04-20020624_120200_20020624_164900-constBx0 |
Minimum Dst Value | | -7 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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