Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-05-20021014_151700_20021014_200200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/14 |
Start Time | | 2002/10/14 15:17 |
End Time | | 2002/10/14 20:00 |
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 | | -1.08 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-05-20021014_151700_20021014_200200-constBx0 |
Minimum Dst Value | | -85 |
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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