Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-03-20021114_040600_20021114_085100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/14 |
Start Time | | 2002/11/14 04:06 |
End Time | | 2002/11/14 08:49 |
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 | | 28.26 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-03-20021114_040600_20021114_085100-constBx0 |
Minimum Dst Value | | -32 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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