Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-09-20021216_065400_20021216_113900-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 06:54 |
End Time | | 2002/12/16 11:37 |
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 | | 27.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-09-20021216_065400_20021216_113900-constBx0 |
Minimum Dst Value | | -22 |
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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