Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit356-02-20021018_191300_20021018_235800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/18 |
Start Time | | 2002/10/18 19:13 |
End Time | | 2002/10/18 23:56 |
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 | | 7.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.26 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit356-02-20021018_191300_20021018_235800-constBx0 |
Minimum Dst Value | | -33 |
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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