Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit345-01-20020922_101600_20020922_150100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/22 |
Start Time | | 2002/09/22 10:16 |
End Time | | 2002/09/22 14:59 |
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 | | -5.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.71 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 161.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit345-01-20020922_101600_20020922_150100-constBx0 |
Minimum Dst Value | | -14 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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