Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-08-20030104_025000_20030104_073500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/04 |
Start Time | | 2003/01/04 02:50 |
End Time | | 2003/01/04 07:33 |
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 | | 32.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.42 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-08-20030104_025000_20030104_073500-constBx0 |
Minimum Dst Value | | -33 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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