Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit334-07-20020828_103000_20020828_151400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/28 |
Start Time | | 2002/08/28 10:30 |
End Time | | 2002/08/28 15:12 |
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 | | -16.58 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit334-07-20020828_103000_20020828_151400-constBx0 |
Minimum Dst Value | | -23 |
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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