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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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