Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit327-12-20020812_183600_20020812_231700-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 18:36 |
End Time | | 2002/08/12 23:15 |
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 | | -19.62 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.65 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit327-12-20020812_183600_20020812_231700-constBx0 |
Minimum Dst Value | | -16 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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