Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit278-05-20020416_185700_20020416_234100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/16 |
Start Time | | 2002/04/16 18:57 |
End Time | | 2002/04/16 23:39 |
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 | | -16.13 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.11 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 197.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit278-05-20020416_185700_20020416_234100-constBx0 |
Minimum Dst Value | | -8 |
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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