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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Space Weather |
| Online Access: | https://doi.org/10.1029/2021SW002920 |
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