Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-01-20020609_163400_20020609_211800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/09 |
Start Time | | 2002/06/09 16:34 |
End Time | | 2002/06/09 21:16 |
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 | | -31.66 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 161.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-01-20020609_163400_20020609_211800-constBx0 |
Minimum Dst Value | | -14 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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