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Here is a pattern that will be familiar to anyone who has worked with marine data. Sea surface temperatures rise in a coastal region. A few weeks later, a phytoplankton bloom appears.

Prof. Georgios Sylaios and his team represented the EcoTwin project at the European Geosciences Union (EGU) General Assembly 2026 in Vienna, presenting new research that brings advanced marine forecasting and environmental risk modelling.

Large language models and generative AI have arrived in marine science, as they have everywhere else. The tools are impressive. The claims made on their behalf are sometimes more impressive still.

Marine ecological models have improved enormously over the past two decades. We can now simulate ocean currents, track nutrient cycling, and predict species distribution shifts under climate scenarios with impressive precision.