Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit317-06-20020718_185400_20020718_233900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/18 |
Start Time | | 2002/07/18 18:54 |
End Time | | 2002/07/18 23:37 |
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 | | -24.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit317-06-20020718_185400_20020718_233900-constBx0 |
Minimum Dst Value | | -13 |
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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