Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit317-10-20020719_135800_20020719_184300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/19 |
Start Time | | 2002/07/19 13:58 |
End Time | | 2002/07/19 18:41 |
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 | | -31.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit317-10-20020719_135800_20020719_184300-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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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