Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-08-20021220_201700_20021221_010200-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 20:17 |
End Time | | 2002/12/21 01:00 |
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 | | 23.06 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-08-20021220_201700_20021221_010200-constBx0 |
Minimum Dst Value | | -64 |
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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