Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit307-07-20020625_022600_20020625_071300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/25 |
Start Time | | 2002/06/25 02:26 |
End Time | | 2002/06/25 07:11 |
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 | | -13.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.93 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit307-07-20020625_022600_20020625_071300-constBx0 |
Minimum Dst Value | | 3 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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