Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-03-20020703_220200_20020704_024700-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 22:02 |
End Time | | 2002/07/04 02:45 |
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 | | -18.87 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.08 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-03-20020703_220200_20020704_024700-constBx0 |
Minimum Dst Value | | 1 |
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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