Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit397-04-20030124_174500_20030124_223000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/24 |
Start Time | | 2003/01/24 17:45 |
End Time | | 2003/01/24 22:28 |
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 | | 13.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.89 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 125.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit397-04-20030124_174500_20030124_223000-constBx0 |
Minimum Dst Value | | -22 |
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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