Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit326-12-20020810_092800_20020810_141000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/10 |
Start Time | | 2002/08/10 09:28 |
End Time | | 2002/08/10 14:08 |
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 | | -19.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.37 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit326-12-20020810_092800_20020810_141000-constBx0 |
Minimum Dst Value | | -28 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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