Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-05-20020704_073400_20020704_121900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/04 |
Start Time | | 2002/07/04 07:34 |
End Time | | 2002/07/04 12:17 |
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 | | -20.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.02 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 151.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-05-20020704_073400_20020704_121900-constBx0 |
Minimum Dst Value | | 3 |
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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