Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit395-08-20030120_183400_20030120_231900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/20 |
Start Time | | 2003/01/20 18:34 |
End Time | | 2003/01/20 23:17 |
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 | | 15.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.76 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit395-08-20030120_183400_20030120_231900-constBx0 |
Minimum Dst Value | | -20 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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