Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit290-11-20020516_121900_20020516_170300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/16 |
Start Time | | 2002/05/16 12:19 |
End Time | | 2002/05/16 17:01 |
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 | | -27.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 162.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit290-11-20020516_121900_20020516_170300-constBx0 |
Minimum Dst Value | | -28 |
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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