Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit368-10-20021117_222600_20021118_031000-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 22:26 |
End Time | | 2002/11/18 03:08 |
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 | | 24.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.18 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit368-10-20021117_222600_20021118_031000-constBx0 |
Minimum Dst Value | | -29 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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