The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …

Understanding the dynamics of tidal rivers and estuaries is critical for reliable water
management. Recently, the use of Machine Learning (ML) has increased in favor of …

Real-time prediction of tidal level is vital for on-the-spot activities such as marine
transportation and ocean surveys. Aiming at the complex characteristics of nonlinearity, time …

Ocean tidal energy is a new energy source which is recognized and utilized earlier by
human beings. For the complexity of tidal generation and the singleness of tidal prediction …

This paper presents a statistical modeling approach to explore the dependence of extreme
values in multi-site tidal water levels (TL) using hourly data from six tidal stations in the …

Nearshore water-level prediction has a substantial impact on the daily lives of coastal
residents, fishing operations, and disaster prevention and mitigation. Compared to the …

Rising sea temperatures and shifting tidal patterns, fuelled by climate change, cause
formidable threats to marine ecosystems. Accurate prediction of sea surface temperature …

Accurate tide level prediction is crucial for storm surge prevention and mitigation. In this
study, we propose a regional multi-station tide-level prediction model (RMSTL) based on a …

High-precision tidal forecasting plays a crucial role in providing reliable tidal information to
coastal communities, ship operators, fishermen, and government agencies. Existing tidal …

Establishing early warning systems and efficient management of water resources in tidal
reaches is crucial for achieving adequate flood protection. In tidal reaches, the river stage …