Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit339-01-20020908_033300_20020908_081800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/08 |
Start Time | | 2002/09/08 03:33 |
End Time | | 2002/09/08 08:16 |
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 | | 3.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.47 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 194.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit339-01-20020908_033300_20020908_081800-constBx0 |
Minimum Dst Value | | -153 |
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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