Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-12-20020614_055200_20020614_103600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/14 |
Start Time | | 2002/06/14 05:52 |
End Time | | 2002/06/14 10:34 |
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 | | -16.95 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 135.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-12-20020614_055200_20020614_103600-constBx0 |
Minimum Dst Value | | -6 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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