Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit335-03-20020830_003600_20020830_052100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/30 |
Start Time | | 2002/08/30 00:36 |
End Time | | 2002/08/30 05:19 |
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 | | -0.52 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 173.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit335-03-20020830_003600_20020830_052100-constBx0 |
Minimum Dst Value | | -32 |
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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