Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-10-20020611_111900_20020611_160300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/11 |
Start Time | | 2002/06/11 11:19 |
End Time | | 2002/06/11 16:01 |
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 | | -29.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-10-20020611_111900_20020611_160300-constBx0 |
Minimum Dst Value | | -20 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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