Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit316-11-20020717_093000_20020717_141400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/17 |
Start Time | | 2002/07/17 09:30 |
End Time | | 2002/07/17 14:12 |
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 | | -24.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit316-11-20020717_093000_20020717_141400-constBx0 |
Minimum Dst Value | | -11 |
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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