Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations

Abstract A new model of northern hemisphere high‐latitude convection derived using machine learning (ML) is presented. The ML algorithm random forests regression was applied to a database of velocities derived from the Super Dual Auroral Radar Network (SuperDARN) observations processed with the pote...

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Bibliographic Details
Main Authors: W. A. Bristow, C. A. Topliff, M. B. Cohen
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2021SW002920
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