Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit396-12-20030123_224500_20030124_032700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/23 |
Start Time | | 2003/01/23 22:45 |
End Time | | 2003/01/24 03:25 |
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 | | 25.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | -23.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 131.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit396-12-20030123_224500_20030124_032700-constBx0 |
Minimum Dst Value | | -31 |
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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