Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit364-04-20021107_053200_20021107_101600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/07 |
Start Time | | 2002/11/07 05:32 |
End Time | | 2002/11/07 10:14 |
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 | | 24.56 |
Dipole Tilt, in Y-Z GSE plane, deg | | 25.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit364-04-20021107_053200_20021107_101600-constBx0 |
Minimum Dst Value | | -43 |
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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