Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-02-20021002_032800_20021002_081300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/02 |
Start Time | | 2002/10/02 03:28 |
End Time | | 2002/10/02 08:11 |
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 | | 14.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.93 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-02-20021002_032800_20021002_081300-constBx0 |
Minimum Dst Value | | -160 |
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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