Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit327-04-20020811_042800_20020811_091300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/11 |
Start Time | | 2002/08/11 04:28 |
End Time | | 2002/08/11 09:11 |
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 | | -7.41 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.98 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 176.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit327-04-20020811_042800_20020811_091300-constBx0 |
Minimum Dst Value | | -14 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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