Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit248-04-20020204_053300_20020204_101700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/04 |
Start Time | | 2002/02/04 05:33 |
End Time | | 2002/02/04 10:15 |
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 | | 23.45 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 228.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit248-04-20020204_053300_20020204_101700-constBx0 |
Minimum Dst Value | | -16 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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