Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit361-10-20021101_065200_20021101_113700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/01 |
Start Time | | 2002/11/01 06:52 |
End Time | | 2002/11/01 11:35 |
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 | | 19.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 159.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit361-10-20021101_065200_20021101_113700-constBx0 |
Minimum Dst Value | | -30 |
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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