Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit375-09-20021204_091800_20021204_140200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/04 |
Start Time | | 2002/12/04 09:18 |
End Time | | 2002/12/04 14:00 |
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 | | 20.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 144.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit375-09-20021204_091800_20021204_140200-constBx0 |
Minimum Dst Value | | -28 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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