Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit381-01-20021217_015100_20021217_063500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/17 |
Start Time | | 2002/12/17 01:51 |
End Time | | 2002/12/17 06:33 |
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 | | 32.89 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 205.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit381-01-20021217_015100_20021217_063500-constBx0 |
Minimum Dst Value | | -10 |
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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