Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-08-20020611_014900_20020611_063300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/11 |
Start Time | | 2002/06/11 01:49 |
End Time | | 2002/06/11 06:31 |
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 | | -13.55 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.26 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-08-20020611_014900_20020611_063300-constBx0 |
Minimum Dst Value | | -25 |
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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