Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit319-05-20020723_081900_20020723_130400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/23 |
Start Time | | 2002/07/23 08:19 |
End Time | | 2002/07/23 13:02 |
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 | | -20.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.32 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 204.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit319-05-20020723_081900_20020723_130400-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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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