Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit372-08-20021127_012200_20021127_060700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/27 |
Start Time | | 2002/11/27 01:22 |
End Time | | 2002/11/27 06:05 |
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 | | 30.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit372-08-20021127_012200_20021127_060700-constBx0 |
Minimum Dst Value | | -62 |
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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