Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit305-07-20020620_082900_20020620_131000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/20 |
Start Time | | 2002/06/20 08:29 |
End Time | | 2002/06/20 13:08 |
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 | | -23.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.81 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit305-07-20020620_082900_20020620_131000-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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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