Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit337-10-20020905_041000_20020905_085500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/05 |
Start Time | | 2002/09/05 04:10 |
End Time | | 2002/09/05 08:53 |
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 | | 2.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit337-10-20020905_041000_20020905_085500-constBx0 |
Minimum Dst Value | | -46 |
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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