Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-09-20020611_063400_20020611_111800-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 06:34 |
End Time | | 2002/06/11 11:16 |
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 | | 5.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-09-20020611_063400_20020611_111800-constBx0 |
Minimum Dst Value | | -23 |
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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