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