Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit327-10-20020812_090400_20020812_134900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/12 |
Start Time | | 2002/08/12 09:04 |
End Time | | 2002/08/12 13:47 |
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 | | -18.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit327-10-20020812_090400_20020812_134900-constBx0 |
Minimum Dst Value | | -12 |
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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