Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit331-04-20020820_165100_20020820_213600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/20 |
Start Time | | 2002/08/20 16:51 |
End Time | | 2002/08/20 21:34 |
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 | | -20.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.01 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 232.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit331-04-20020820_165100_20020820_213600-constBx0 |
Minimum Dst Value | | -54 |
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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