Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-09-20020802_154400_20020802_202800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/02 |
Start Time | | 2002/08/02 15:44 |
End Time | | 2002/08/02 20:26 |
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 | | -27.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.55 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-09-20020802_154400_20020802_202800-constBx0 |
Minimum Dst Value | | -55 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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