Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit352-07-20021010_063400_20021010_111800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/10 |
Start Time | | 2002/10/10 06:34 |
End Time | | 2002/10/10 11:16 |
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 | | 12.61 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit352-07-20021010_063400_20021010_111800-constBx0 |
Minimum Dst Value | | -72 |
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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