Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-09-20021003_125000_20021003_173500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/03 |
Start Time | | 2002/10/03 12:50 |
End Time | | 2002/10/03 17:33 |
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 | | -5.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.11 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-09-20021003_125000_20021003_173500-constBx0 |
Minimum Dst Value | | -84 |
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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