Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit360-06-20021029_024100_20021029_072600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/29 |
Start Time | | 2002/10/29 02:41 |
End Time | | 2002/10/29 07:24 |
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 | | 23.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.40 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 159.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit360-06-20021029_024100_20021029_072600-constBx0 |
Minimum Dst Value | | -45 |
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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