Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit254-11-20020219_212000_20020220_020400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/19 |
Start Time | | 2002/02/19 21:20 |
End Time | | 2002/02/20 02:02 |
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 | | 14.67 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit254-11-20020219_212000_20020220_020400-constBx0 |
Minimum Dst Value | | -14 |
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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