Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-06-20021002_223200_20021003_031700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/02 |
Start Time | | 2002/10/02 22:32 |
End Time | | 2002/10/03 03:15 |
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 | | 9.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.34 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-06-20021002_223200_20021003_031700-constBx0 |
Minimum Dst Value | | -75 |
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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