Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit387-01-20021231_082400_20021231_130800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/31 |
Start Time | | 2002/12/31 08:24 |
End Time | | 2002/12/31 13:06 |
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 | | 23.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.11 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 111.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit387-01-20021231_082400_20021231_130800-constBx0 |
Minimum Dst Value | | -26 |
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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