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 GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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