Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit306-12-20020623_165900_20020623_213800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/23 |
Start Time | | 2002/06/23 16:59 |
End Time | | 2002/06/23 21:36 |
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 | | -31.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.98 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit306-12-20020623_165900_20020623_213800-constBx0 |
Minimum Dst Value | | -19 |
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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