Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-05-20021114_133800_20021114_182300-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 13:38 |
End Time | | 2002/11/14 18:21 |
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 | | 8.83 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-05-20021114_133800_20021114_182300-constBx0 |
Minimum Dst Value | | -22 |
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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