Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit356-08-20021019_234900_20021020_043400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/19 |
Start Time | | 2002/10/19 23:49 |
End Time | | 2002/10/20 04:32 |
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 | | 18.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.14 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit356-08-20021019_234900_20021020_043400-constBx0 |
Minimum Dst Value | | -28 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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