Bridging the Gap: Enhancing Storm Surge Prediction and Decision Support with Bidirectional Attention-Based LSTM

Accurate storm surge forecasting is vital for saving lives and avoiding economic and infrastructural damage. Failure to accurately predict storm surge can have catastrophic repercussions. Advances in machine learning models show the ability to improve accuracy of storm surge prediction by leveraging...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Vai-Kei Ian, Rita Tse, Su-Kit Tang, Giovanni Pau
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2023-06-01
Schriftenreihe:	Atmosphere
Schlagworte:	storm surge machine learning artificial intelligence tropical cyclone natural disaster natural hazard
Online-Zugang:	https://www.mdpi.com/2073-4433/14/7/1082
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