Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit308-06-20020627_071200_20020627_115900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/27 |
Start Time | | 2002/06/27 07:12 |
End Time | | 2002/06/27 11:57 |
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 | | -20.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.06 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit308-06-20020627_071200_20020627_115900-constBx0 |
Minimum Dst Value | | 0 |
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 Geotail for time period of this run.
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)
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