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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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