Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-11-20021115_181400_20021115_225900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/15 |
Start Time | | 2002/11/15 18:14 |
End Time | | 2002/11/15 22:57 |
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 | | 13.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.03 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 193.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-11-20021115_181400_20021115_225900-constBx0 |
Minimum Dst Value | | -35 |
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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