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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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