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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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