Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-11-20030130_211700_20030131_020200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/30 |
Start Time | | 2003/01/30 21:17 |
End Time | | 2003/01/31 02:00 |
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 | | 20.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.56 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 117.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-11-20030130_211700_20030131_020200-constBx0 |
Minimum Dst Value | | -27 |
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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