The oceans of the earth offer vast amounts of renewable energy. Technologies to harness
the power of the seas are at an early stage of development. Even the most advances …

The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …

Forecasting fields of oceanic phenomena has long been dependent on physical equation–
based numerical models. The challenge is that many natural processes need to be …

Accurate wave forecasting is essential for the safety of port and offshore structure operations
and ship navigation. Computational fluid dynamics (CFD) and traditional time series models …

Accurate wave forecasts provide vital safety guarantees for marine operations of ships. The
difficulty in the study of ocean wave forecasting is that ocean waves have non-linear and …

We present a new deep learning training framework for forecasting significant wave height
on the Southwestern Atlantic Ocean. We use the long short-term memory algorithm (LSTM) …

Numerical wave models have been developed for the wave forecast in last two decades;
however, it faces challenges in terms of the requirement of large computing resources and …

Short-term prediction of ocean waves is critical in oceanic operation-related activities.
Statistical models have advantages in short-term wave prediction as complex phenomena …

A novel data-driven model is proposed for efficient spatial–temporal significant wave height
forecast in West Pacific using deep learning. A multivariate 3-layer LSTM-based architecture …

With the availability of petabytes of oceanographic observations and numerical model
simulations, artificial intelligence (AI) tools are being increasingly leveraged in a variety of …