Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit285-04-20020503_054400_20020503_102900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/03 |
Start Time | | 2002/05/03 05:44 |
End Time | | 2002/05/03 10:27 |
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 | | -9.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.34 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 182.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit285-04-20020503_054400_20020503_102900-constBx0 |
Minimum Dst Value | | 0 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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