Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit338-01-20020905_182500_20020905_231000-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 18:25 |
End Time | | 2002/09/05 23:08 |
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 | | -11.62 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.19 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit338-01-20020905_182500_20020905_231000-constBx0 |
Minimum Dst Value | | -41 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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