Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit312-06-20020706_212100_20020707_020500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/06 |
Start Time | | 2002/07/06 21:21 |
End Time | | 2002/07/07 02:03 |
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 | | -20.37 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit312-06-20020706_212100_20020707_020500-constBx0 |
Minimum Dst Value | | -37 |
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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