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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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