Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-03-20020720_134100_20020720_182600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/20 |
Start Time | | 2002/07/20 13:41 |
End Time | | 2002/07/20 18:24 |
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 | | -31.01 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-03-20020720_134100_20020720_182600-constBx0 |
Minimum Dst Value | | -23 |
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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