Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-07-20021220_153100_20021220_201600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/20 |
Start Time | | 2002/12/20 15:31 |
End Time | | 2002/12/20 20:14 |
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 | | 14.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-07-20021220_153100_20021220_201600-constBx0 |
Minimum Dst Value | | -47 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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