Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit274-01-20020406_113500_20020406_162000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/06 |
Start Time | | 2002/04/06 11:35 |
End Time | | 2002/04/06 16:18 |
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 | | -13.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.75 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit274-01-20020406_113500_20020406_162000-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.
Satellite data B plot for Polar for time period of this run.
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)
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