Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit328-06-20020813_230700_20020814_035200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/13 |
Start Time | | 2002/08/13 23:07 |
End Time | | 2002/08/14 03:50 |
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 | | -8.32 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit328-06-20020813_230700_20020814_035200-constBx0 |
Minimum Dst Value | | -17 |
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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