Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit312-09-20020707_113600_20020707_162000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/07 |
Start Time | | 2002/07/07 11:36 |
End Time | | 2002/07/07 16:18 |
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 | | -30.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.31 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit312-09-20020707_113600_20020707_162000-constBx0 |
Minimum Dst Value | | -24 |
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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