Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit352-08-20021010_111900_20021010_160300-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 11:19 |
End Time | | 2002/10/10 16:01 |
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 | | -0.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.14 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit352-08-20021010_111900_20021010_160300-constBx0 |
Minimum Dst Value | | -64 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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