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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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