Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit324-08-20020804_201000_20020805_005500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/04 |
Start Time | | 2002/08/04 20:10 |
End Time | | 2002/08/05 00:53 |
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 | | -17.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit324-08-20020804_201000_20020805_005500-constBx0 |
Minimum Dst Value | | -31 |
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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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