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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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