Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-12-20021016_003900_20021016_051900-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 00:39 |
End Time | | 2002/10/16 05:17 |
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 | | 18.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 181.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-12-20021016_003900_20021016_051900-constBx0 |
Minimum Dst Value | | -55 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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