Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit366-12-20021113_135100_20021113_183400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/13 |
Start Time | | 2002/11/13 13:51 |
End Time | | 2002/11/13 18:32 |
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 | | 9.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit366-12-20021113_135100_20021113_183400-constBx0 |
Minimum Dst Value | | -27 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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