Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit368-07-20021117_081100_20021117_125500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/17 |
Start Time | | 2002/11/17 08:11 |
End Time | | 2002/11/17 12:53 |
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 | | 29.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.37 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit368-07-20021117_081100_20021117_125500-constBx0 |
Minimum Dst Value | | -1 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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