Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit371-11-20021125_063400_20021125_111900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/25 |
Start Time | | 2002/11/25 06:34 |
End Time | | 2002/11/25 11:17 |
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 | | 26.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.58 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit371-11-20021125_063400_20021125_111900-constBx0 |
Minimum Dst Value | | -60 |
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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