Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-02-20020703_171600_20020703_220100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/03 |
Start Time | | 2002/07/03 17:16 |
End Time | | 2002/07/03 21:59 |
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 | | -30.06 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.42 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-02-20020703_171600_20020703_220100-constBx0 |
Minimum Dst Value | | -11 |
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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