Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit342-11-20020917_063100_20020917_111600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/17 |
Start Time | | 2002/09/17 06:31 |
End Time | | 2002/09/17 11:14 |
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 | | 2.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.71 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 195.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit342-11-20020917_063100_20020917_111600-constBx0 |
Minimum Dst Value | | -21 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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