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