Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit255-03-20020220_162400_20020220_210800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/20 |
Start Time | | 2002/02/20 16:24 |
End Time | | 2002/02/20 21:06 |
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 | | 2.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit255-03-20020220_162400_20020220_210800-constBx0 |
Minimum Dst Value | | -6 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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