Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit358-07-20021024_131100_20021024_175500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/24 |
Start Time | | 2002/10/24 13:11 |
End Time | | 2002/10/24 17:53 |
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 | | 2.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 158.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit358-07-20021024_131100_20021024_175500-constBx0 |
Minimum Dst Value | | -91 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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