Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit346-12-20020926_234900_20020927_042800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/26 |
Start Time | | 2002/09/26 23:49 |
End Time | | 2002/09/27 04:26 |
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 | | 9.49 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.34 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 150.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit346-12-20020926_234900_20020927_042800-constBx0 |
Minimum Dst Value | | -36 |
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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