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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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