Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit326-01-20020808_050200_20020808_094700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/08 |
Start Time | | 2002/08/08 05:02 |
End Time | | 2002/08/08 09:45 |
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 | | -9.21 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.25 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit326-01-20020808_050200_20020808_094700-constBx0 |
Minimum Dst Value | | -4 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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