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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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