Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit305-10-20020620_223500_20020621_031600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/20 |
Start Time | | 2002/06/20 22:35 |
End Time | | 2002/06/21 03:14 |
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 | | -18.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit305-10-20020620_223500_20020621_031600-constBx0 |
Minimum Dst Value | | -4 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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