2 papers
q-bio.QM2026
Deep learning model emulators for marine biogeochemistry forecasting from days to decades
Jozef Skakala, Ieuan Higgs, David Moffat
Deep-learning emulators have emerged as a promising approach for reducing the computational cost of Earth System Models while potentially improving forecasting skill. Here, we demo…
cs.CV2025
A Sentinel-3 foundation model for ocean colour
Geoffrey Dawson, Remy Vandaele, Andrew Taylor +8
Artificial Intelligence (AI) Foundation models (FMs), pre-trained on massive unlabelled datasets, have the potential to drastically change AI applications in ocean science, where l…