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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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