Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-07-20030103_220400_20030104_024900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/03 |
Start Time | | 2003/01/03 22:04 |
End Time | | 2003/01/04 02:47 |
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 | | 27.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.36 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-07-20030103_220400_20030104_024900-constBx0 |
Minimum Dst Value | | -25 |
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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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