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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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