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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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