Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit327-04-20020811_042800_20020811_091300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/11 |
Start Time | | 2002/08/11 04:28 |
End Time | | 2002/08/11 09:11 |
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 | | -7.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.98 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 176.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit327-04-20020811_042800_20020811_091300-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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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