Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit274-10-20020408_062900_20020408_111400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/08 |
Start Time | | 2002/04/08 06:29 |
End Time | | 2002/04/08 11:12 |
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 | | -2.42 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit274-10-20020408_062900_20020408_111400-constBx0 |
Minimum Dst Value | | -3 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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