Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit279-11-20020420_083100_20020420_131500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/20 |
Start Time | | 2002/04/20 08:31 |
End Time | | 2002/04/20 13:13 |
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 | | -11.72 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit279-11-20020420_083100_20020420_131500-constBx0 |
Minimum Dst Value | | -149 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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