Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit334-09-20020828_200000_20020829_004400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/28 |
Start Time | | 2002/08/28 20:00 |
End Time | | 2002/08/29 00:42 |
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 | | -10.86 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit334-09-20020828_200000_20020829_004400-constBx0 |
Minimum Dst Value | | -26 |
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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