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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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