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