Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit335-06-20020830_145400_20020830_193900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/30 |
Start Time | | 2002/08/30 14:54 |
End Time | | 2002/08/30 19:37 |
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 | | -20.37 |
Dipole Tilt, in Y-Z GSE plane, deg | | 25.85 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 173.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit335-06-20020830_145400_20020830_193900-constBx0 |
Minimum Dst Value | | -10 |
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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