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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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