Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit381-01-20021217_015100_20021217_063500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/17 |
Start Time | | 2002/12/17 01:51 |
End Time | | 2002/12/17 06:33 |
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 | | 32.89 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 205.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit381-01-20021217_015100_20021217_063500-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 Geotail for time period of this run.
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)
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