Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit286-09-20020506_143900_20020506_192400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/06 |
Start Time | | 2002/05/06 14:39 |
End Time | | 2002/05/06 19:22 |
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 | | -27.82 |
Dipole Tilt, in Y-Z GSE plane, deg | | -20.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 194.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit286-09-20020506_143900_20020506_192400-constBx0 |
Minimum Dst Value | | -27 |
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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