Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-07-20020629_214500_20020630_023300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/29 |
Start Time | | 2002/06/29 21:45 |
End Time | | 2002/06/30 02:31 |
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 | | -20.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-07-20020629_214500_20020630_023300-constBx0 |
Minimum Dst Value | | 8 |
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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