Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-08-20020802_105900_20020802_154300-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 10:59 |
End Time | | 2002/08/02 15:41 |
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 | | -25.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-08-20020802_105900_20020802_154300-constBx0 |
Minimum Dst Value | | -58 |
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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