A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …

Benthic organisms and their bioturbation activities have a profound effect on a multitude of
sediment properties. While many studies have already explored benthic impacts at small …

The performances of phase-averaged parametric nearshore wave transformation models
depend significantly on a reliable estimate of the wave breaker index γ (the breaker height …

Hydrodynamic responses of the northern South China Sea (nSCS) to Typhoon Linfa in 2009
are examined using observations and model results. A shelf circulation model based on the …

Waves propagating on sandy beaches are naturally affected by tides. A better
understanding of tide-modulated wave characteristics and breaking regimes in the intertidal …

Short waves are of key importance for nearshore dynamics, particularly under storms, where
they contribute to extreme water levels and drive large morphological changes. Therefore, it …

The performance of seven wind resources in simulating the significant wave height (H s) for
the Bohai, Yellow, and East China Seas (BYES) was evaluated with a numerical wave …

Interactions between surface waves and ocean currents over the northwest Atlantic during
Hurricanes Earl and Igor (2010) are investigated using a coupled wave‐circulation model …

Numerous wind force data with different temporal and spatial resolution have been released
over the last decades which can be utilized in a wave model to simulate wave spectrum and …

Accurate representation of wind stress is important for modelling and predictions of marine
environmental conditions. The effect of sea state on wind stress is usually parameterized by …