Modeling equatorial ionospheric vertical plasma drifts using machine learning

Modeling equatorial ionospheric vertical plasma drifts using machine learning

Abstract We present the results of an effort to model quiet-time vertical plasma drifts in the low-latitude F-region ionosphere using the random forest machine learning technique. The model is capable of describing the climatological variation of the drifts as a function of universal time, day of th...

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Bibliographic Details
Main Authors: S. A. Shidler, F. S. Rodrigues
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Earth, Planets and Space
Subjects:
Ionosphere
Drifts
Equatorial
Model
Machine learning
Random forest
Online Access:http://link.springer.com/article/10.1186/s40623-020-01227-w

Internet

http://link.springer.com/article/10.1186/s40623-020-01227-w

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