Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-12-20021216_211200_20021217_015100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/16 |
Start Time | | 2002/12/16 21:12 |
End Time | | 2002/12/17 01:49 |
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 | | 25.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.97 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-12-20021216_211200_20021217_015100-constBx0 |
Minimum Dst Value | | -6 |
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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