Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit343-02-20020917_204500_20020918_013000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/17 |
Start Time | | 2002/09/17 20:45 |
End Time | | 2002/09/18 01:28 |
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 | | -1.19 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 195.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit343-02-20020917_204500_20020918_013000-constBx0 |
Minimum Dst Value | | -45 |
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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