Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit340-09-20020912_024900_20020912_073400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/12 |
Start Time | | 2002/09/12 02:49 |
End Time | | 2002/09/12 07:32 |
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 | | 6.05 |
Dipole Tilt, in Y-Z GSE plane, deg | | 26.86 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 215.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit340-09-20020912_024900_20020912_073400-constBx0 |
Minimum Dst Value | | -66 |
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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