Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit286-05-20020505_193500_20020506_002000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/05 |
Start Time | | 2002/05/05 19:35 |
End Time | | 2002/05/06 00:18 |
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 | | -20.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | -27.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 183.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit286-05-20020505_193500_20020506_002000-constBx0 |
Minimum Dst Value | | 10 |
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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