Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit333-06-20020825_204200_20020826_012700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/25 |
Start Time | | 2002/08/25 20:42 |
End Time | | 2002/08/26 01:25 |
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 | | -10.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.54 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 182.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit333-06-20020825_204200_20020826_012700-constBx0 |
Minimum Dst Value | | -12 |
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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