Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-04-20020612_155200_20020612_203600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/12 |
Start Time | | 2002/06/12 15:52 |
End Time | | 2002/06/12 20:34 |
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 | | -32.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.45 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-04-20020612_155200_20020612_203600-constBx0 |
Minimum Dst Value | | -17 |
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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