Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit346-06-20020925_191300_20020925_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 | | 2002/09/25 |
Start Time | | 2002/09/25 19:13 |
End Time | | 2002/09/25 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 | | -1.69 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.43 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 154.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit346-06-20020925_191300_20020925_235800-constBx0 |
Minimum Dst Value | | -10 |
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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