Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-11-20020611_160400_20020611_204800-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 16:04 |
End Time | | 2002/06/11 20:46 |
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 | | -32.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-11-20020611_160400_20020611_204800-constBx0 |
Minimum Dst Value | | -21 |
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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