Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit355-01-20021016_051900_20021016_100400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/16 |
Start Time | | 2002/10/16 05:19 |
End Time | | 2002/10/16 10:02 |
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 | | 17.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 181.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit355-01-20021016_051900_20021016_100400-constBx0 |
Minimum Dst Value | | -44 |
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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