Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit360-09-20021029_165900_20021029_214400-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 16:59 |
End Time | | 2002/10/29 21:42 |
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 | | 6.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.83 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 159.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit360-09-20021029_165900_20021029_214400-constBx0 |
Minimum Dst Value | | -29 |
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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