Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit368-09-20021117_174100_20021117_222500-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 17:41 |
End Time | | 2002/11/17 22:23 |
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 | | 12.96 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit368-09-20021117_174100_20021117_222500-constBx0 |
Minimum Dst Value | | -18 |
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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