Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit385-04-20021227_043100_20021227_091600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/27 |
Start Time | | 2002/12/27 04:31 |
End Time | | 2002/12/27 09:14 |
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 | | 31.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.76 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 112.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit385-04-20021227_043100_20021227_091600-constBx0 |
Minimum Dst Value | | -68 |
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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