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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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