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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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