Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit328-10-20020814_181100_20020814_225600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/14 |
Start Time | | 2002/08/14 18:11 |
End Time | | 2002/08/14 22:54 |
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 | | -19.85 |
Dipole Tilt, in Y-Z GSE plane, deg | | 9.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 213.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit328-10-20020814_181100_20020814_225600-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 GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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