A Deep Learning Algorithm of Neural Network for the Parameterization of Typhoon‐Ocean Feedback in Typhoon Forecast Models

Abstract Two algorithms based on machine learning neural networks are proposed—the shallow learning (S‐L) and deep learning (D‐L) algorithms—that can potentially be used in atmosphere‐only typhoon forecast models to provide flow‐dependent typhoon‐induced sea surface temperature cooling (SSTC) for im...

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Bibliographic Details

Published in:	Geophysical Research Letters
Main Authors:	Guo‐Qing Jiang, Jing Xu, Jun Wei
Format:	Article
Language:	English
Published:	Wiley 2018-04-01
Subjects:	neural network typhoon tropical cyclone air‐sea interaction parameterization
Online Access:	https://doi.org/10.1002/2018GL077004