Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit322-05-20020730_114200_20020730_162700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/30 |
Start Time | | 2002/07/30 11:42 |
End Time | | 2002/07/30 16:25 |
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 | | -27.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 234.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit322-05-20020730_114200_20020730_162700-constBx0 |
Minimum Dst Value | | 2 |
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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