Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit351-11-20021008_163700_20021008_212200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/08 |
Start Time | | 2002/10/08 16:37 |
End Time | | 2002/10/08 21:20 |
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 | | -1.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 165.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit351-11-20021008_163700_20021008_212200-constBx0 |
Minimum Dst Value | | -68 |
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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