Deep learning methods have excellent prospects for application in wave forecasting
research. This study employed the convolutional LSTM (ConvLSTM) algorithm to predict the …

This study presents the first spatial calibration of SWAN model physical parameters based
on satellite observations for the Black and Azov Seas. Currently, the wind-wave model …

The quality of the third generation wave model WAVEWATCH III, referred WW3, using the
different source term packages is investigated in the context of wave growth and dissipation …

Since the launch of CFOSAT on 29 October 2018, more than three years of observational
data of ocean wave spectra with a frequency range of 0.02–0.26 Hz and a horizontal …

The Sentinel-6 Michael Freilich (S6-MF) satellite was launched on 21st November 2020.
Poseidon-4, the main payload onboard S6-MF, is the first synthetic aperture radar (SAR) …

Accurate wave predictions are crucial for many marine-related activities, including offshore
operations, navigation, and marine renewable energy. To improve the forecast performance …

Tropical cyclones (TCs) are extreme events that generate, because of their movement,
complex wave fields. The Surface Wave Investigation and Monitoring (SWIM) instrument is a …

The wave spectrometer operated by the China–France Oceanography Satellite (CFOSAT)
can provide global ocean wave observation data. Although a lot of work on calibration and …

Assimilating observation data into wave models can significantly improve the numerical
simulation accuracy of ocean waves. Traditionally, assimilation efforts have predominantly …

The wave spectrum describes the distribution of wave energy across frequency and
direction. Obtaining wave spectrum information with high accuracy is of great value for …