Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit326-04-20020808_192000_20020809_000500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/08 |
Start Time | | 2002/08/08 19:20 |
End Time | | 2002/08/09 00:03 |
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 | | -18.85 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit326-04-20020808_192000_20020809_000500-constBx0 |
Minimum Dst Value | | 3 |
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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