Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-11-20021003_222200_20021004_030700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/03 |
Start Time | | 2002/10/03 22:22 |
End Time | | 2002/10/04 03:05 |
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 | | 9.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-11-20021003_222200_20021004_030700-constBx0 |
Minimum Dst Value | | -125 |
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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