Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-03-20020708_161000_20020708_205500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/08 |
Start Time | | 2002/07/08 16:10 |
End Time | | 2002/07/08 20:53 |
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 | | -31.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 135.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-03-20020708_161000_20020708_205500-constBx0 |
Minimum Dst Value | | -5 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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