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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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