Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-07-20021114_231000_20021115_035500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/14 |
Start Time | | 2002/11/14 23:10 |
End Time | | 2002/11/15 03:53 |
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 | | 25.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-07-20021114_231000_20021115_035500-constBx0 |
Minimum Dst Value | | -25 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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