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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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