Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit325-05-20020806_145700_20020806_194200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/06 |
Start Time | | 2002/08/06 14:57 |
End Time | | 2002/08/06 19:40 |
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 | | -26.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.66 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 148.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit325-05-20020806_145700_20020806_194200-constBx0 |
Minimum Dst Value | | -10 |
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.
Satellite data B plot for Polar for time period of this run.
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)
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