Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit312-11-20020707_210600_20020708_015000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/07 |
Start Time | | 2002/07/07 21:06 |
End Time | | 2002/07/08 01:48 |
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 | | -20.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit312-11-20020707_210600_20020708_015000-constBx0 |
Minimum Dst Value | | -18 |
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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