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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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