Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit326-04-20020808_192000_20020809_000500-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 19:20 |
End Time | | 2002/08/09 00:03 |
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 | | -18.85 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit326-04-20020808_192000_20020809_000500-constBx0 |
Minimum Dst Value | | 3 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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