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

To explore new operational forecasting methods of waves, a forecasting model for wave
heights at three stations in the Bohai Sea has been developed. This model is based on long …

This study investigates the overall performance of non-linear regression models based
either on DNN or on RNN for the fast predictions of time-varying storm surge heights. We …

In recent years, to reduce social and economic losses, timely and accurate storm surge
forecasts have been attracting growing attention from coastal engineers. Although a host of …

On coastlines with shallow shelf areas (eg North Sea), a combination of high tides, storm
surges, wind waves and mutual interactions generally represent the major sources of …

Predictions of extreme coastal water levels are important to coastal engineering design and
hazard mitigations in Florida. Annual maximum water levels are often used in frequency …

1. Introduction application of Artificial Neural Networks (ANN) to forecast future water levels
and improve on the presently inadequate harmonic forecasts. Accurate water level forecasts …

Tide tables are the method of choice for water level predictions in most coastal regions. In
the United States, the National Ocean Service (NOS) uses harmonic analysis and time …

Applied meteorology is an important and rapidly growing field. This chapter concludes the
three-chapter series of this monograph describing how meteorological information can be …

Bangladesh coast is infamous for the negative impacts caused by storm surge inundation
that initially leads to damage of life and property but longer term devastation to coastal …