A Deep Learning Approach for Wave Forecasting Based on a Spatially Correlated Wind Feature, with a Case Study in the Java Sea, Indonesia

A Deep Learning Approach for Wave Forecasting Based on a Spatially Correlated Wind Feature, with a Case Study in the Java Sea, Indonesia

For safety and survival at sea and on the shore, wave predictions are essential for marine-related activities, such as harbor operations, naval navigation, and other coastal and offshore activities. In general, wave height predictions rely heavily on numerical simulations. The computational cost of...

Full description

Bibliographic Details
Main Authors: Didit Adytia, Deni Saepudin, Sri Redjeki Pudjaprasetya, Semeidi Husrin, Ardhasena Sopaheluwakan
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Fluids
Subjects:
wave forecasting
bidirectional long short-term memory
SWAN model
Online Access:https://www.mdpi.com/2311-5521/7/1/39

Internet

https://www.mdpi.com/2311-5521/7/1/39

Similar Items