Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit307-04-20020624_120200_20020624_164900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/24 |
Start Time | | 2002/06/24 12:02 |
End Time | | 2002/06/24 16:47 |
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 | | -31.81 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.51 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit307-04-20020624_120200_20020624_164900-constBx0 |
Minimum Dst Value | | -7 |
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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