Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit348-06-20020930_132200_20020930_180700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/30 |
Start Time | | 2002/09/30 13:22 |
End Time | | 2002/09/30 18:05 |
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 | | -7.32 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit348-06-20020930_132200_20020930_180700-constBx0 |
Minimum Dst Value | | -49 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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