Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit343-01-20020917_155900_20020917_204400-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 15:59 |
End Time | | 2002/09/17 20:42 |
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 | | -11.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 195.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit343-01-20020917_155900_20020917_204400-constBx0 |
Minimum Dst Value | | -36 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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