Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit342-05-20020916_015500_20020916_064000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/16 |
Start Time | | 2002/09/16 01:55 |
End Time | | 2002/09/16 06:38 |
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 | | 7.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.19 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit342-05-20020916_015500_20020916_064000-constBx0 |
Minimum Dst Value | | -21 |
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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