Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit368-07-20021117_081100_20021117_125500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/17 |
Start Time | | 2002/11/17 08:11 |
End Time | | 2002/11/17 12:53 |
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 | | 29.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.37 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit368-07-20021117_081100_20021117_125500-constBx0 |
Minimum Dst Value | | -1 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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