Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-02-20021002_032800_20021002_081300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/02 |
Start Time | | 2002/10/02 03:28 |
End Time | | 2002/10/02 08:11 |
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 | | 14.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.93 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-02-20021002_032800_20021002_081300-constBx0 |
Minimum Dst Value | | -160 |
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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