Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-08-20021201_193500_20021202_002000-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 19:35 |
End Time | | 2002/12/02 00:18 |
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 | | 19.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.25 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-08-20021201_193500_20021202_002000-constBx0 |
Minimum Dst Value | | -32 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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