Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit355-06-20021017_050900_20021017_095400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/17 |
Start Time | | 2002/10/17 05:09 |
End Time | | 2002/10/17 09:52 |
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 | | 18.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit355-06-20021017_050900_20021017_095400-constBx0 |
Minimum Dst Value | | -52 |
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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