Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-11-20020611_160400_20020611_204800-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 16:04 |
End Time | | 2002/06/11 20:46 |
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 | | -32.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-11-20020611_160400_20020611_204800-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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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