Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-09-20030130_114500_20030130_163000-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 11:45 |
End Time | | 2003/01/30 16:28 |
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 | | 10.66 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.92 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 117.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-09-20030130_114500_20030130_163000-constBx0 |
Minimum Dst Value | | -38 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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