Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-11-20021003_222200_20021004_030700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/03 |
Start Time | | 2002/10/03 22:22 |
End Time | | 2002/10/04 03:05 |
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 | | 9.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-11-20021003_222200_20021004_030700-constBx0 |
Minimum Dst Value | | -125 |
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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