Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit278-04-20020416_141200_20020416_185600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/16 |
Start Time | | 2002/04/16 14:12 |
End Time | | 2002/04/16 18:54 |
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 | | -20.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -17.44 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 197.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit278-04-20020416_141200_20020416_185600-constBx0 |
Minimum Dst Value | | -4 |
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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