Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit364-07-20021107_194700_20021108_003100-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 19:47 |
End Time | | 2002/11/08 00:29 |
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 | | 15.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit364-07-20021107_194700_20021108_003100-constBx0 |
Minimum Dst Value | | -35 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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