Probabilistic modelling and statistical analysis of environmental conditions is important for
the design and assessment of ships and other marine structures. It will give a necessary …

Rapid urbanization is an important factor leading to the rise in surface temperature. How to
effectively reduce the land surface temperature (LST) has become a significant proposition …

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

We evaluated spatiotemporal characteristics of the wind power density (WPD) in the
Mediterranean and the Black Sea. An hourly wind speed data from ERA5 of ECMWF is used …

Currently, the methods of wave prediction based on deep learning theory primarily focus on
single-point wave prediction; however, two-dimensional (2-D) wave field prediction can help …

The hybrid use of renewables enables resource complementation by other sources when
one of them is inactive. This study focuses on wind and wave hybrids in the Mediterranean …

The long-term variability of wave energy resources will affect the practical decadal
application of wave energy converters. This paper has evaluated the distributions and long …

This study assessed the extremes of wave conditions for past (1979–2005) and future (2026–
2045 and 2081–2100) time slices in the Gulf of Guinea (GoG). The ensemble produced from …

Extreme significant wave height estimates, and their probability of exceedance, are
fundamental offshore and coastal engineering design parameters. These estimates are …

Most studies only focus on single-point wave forecasting, while regional wave forecasting
has more important significance for ocean engineering construction, navigation safety and …