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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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