Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit341-06-20020913_213200_20020914_021600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/13 |
Start Time | | 2002/09/13 21:32 |
End Time | | 2002/09/14 02:14 |
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 | | -0.94 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 208.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit341-06-20020913_213200_20020914_021600-constBx0 |
Minimum Dst Value | | -42 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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