Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-05-20021114_133800_20021114_182300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/14 |
Start Time | | 2002/11/14 13:38 |
End Time | | 2002/11/14 18:21 |
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 | | 8.83 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.04 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-05-20021114_133800_20021114_182300-constBx0 |
Minimum Dst Value | | -22 |
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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