Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit272-09-20020403_072700_20020403_121100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/03 |
Start Time | | 2002/04/03 07:27 |
End Time | | 2002/04/03 12:09 |
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 | | -2.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.83 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 209.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit272-09-20020403_072700_20020403_121100-constBx0 |
Minimum Dst Value | | -23 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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