Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-05-20021201_051700_20021201_100200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/01 |
Start Time | | 2002/12/01 05:17 |
End Time | | 2002/12/01 10:00 |
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 | | 29.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-05-20021201_051700_20021201_100200-constBx0 |
Minimum Dst Value | | -39 |
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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