Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit324-02-20020803_153400_20020803_201900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/03 |
Start Time | | 2002/08/03 15:34 |
End Time | | 2002/08/03 20:17 |
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 | | -27.13 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.02 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit324-02-20020803_153400_20020803_201900-constBx0 |
Minimum Dst Value | | -29 |
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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