Storm Surge Forecast Using an Encoder–Decoder Recurrent Neural Network Model

Storm Surge Forecast Using an Encoder–Decoder Recurrent Neural Network Model

This study presents an encoder–decoder neural network model to forecast storm surges on the US North Atlantic Coast. The proposed multivariate time-series forecast model consists of two long short-term memory (LSTM) models. The first LSTM model encodes the input sequence, including storm position, c...

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Bibliographic Details
Main Authors: Zhangping Wei, Hai Cong Nguyen
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Journal of Marine Science and Engineering
Subjects:
storm surge
Atlantic hurricanes
multivariate forecast
recurrent neural network
encoder–decoder model
long short-term memory model
Online Access:https://www.mdpi.com/2077-1312/10/12/1980

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