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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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