Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit277-07-20020414_192300_20020415_000700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/14 |
Start Time | | 2002/04/14 19:23 |
End Time | | 2002/04/15 00:05 |
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 | | -14.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.73 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 211.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit277-07-20020414_192300_20020415_000700-constBx0 |
Minimum Dst Value | | -14 |
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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