Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit291-05-20020517_165600_20020517_214100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/17 |
Start Time | | 2002/05/17 16:56 |
End Time | | 2002/05/17 21:39 |
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 | | -28.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.14 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 160.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit291-05-20020517_165600_20020517_214100-constBx0 |
Minimum Dst Value | | -16 |
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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