Ocean Sciences 2026 - University of Glasgow's main building

Ocean Sciences 2026 - University of Glasgow's main building

Students Jose Miranda and Jorge Velasco represented Florida State University's Department of Scientific Computing and the Center for Ocean-Atmospheric Prediction Studies (COAPS) at the 2026 Ocean Sciences Meeting held in Glasgow, Scotland this past February, presenting innovative research that applies machine learning to advance oceanographic observation and analysis.

Jose Miranda presented “Neural Synthetic Profiles from Remote Sensing and Observations (NeSPReSO), an Open Web Interface and API for Synthetic Temperature and Salinity Profiles in the Gulf of Mexico.” His work introduces a neural-network–based framework that integrates satellite observations and in-situ measurements to generate synthetic temperature (T) and salinity (S) profiles. The NeSPReSO system provides an accessible web interface and API, enabling researchers to easily retrieve high-resolution subsurface ocean estimates for the Gulf of Mexico and supporting broader data accessibility for oceanographic research.

Ocean Sciences 2026 - Jose Miranda next to his poster

Ocean Sciences 2026 - Jose Miranda

Ocean Sciences 2026 - Jose Miranda talks science

Ocean Sciences 2026 - Jose Miranda talks science

Jorge Velasco presented “Improving Sea Surface Height Resolution Using Satellite-Derived Chlorophyll-a and Temperature with Machine Learning.” His research explores how biological and thermal satellite observations can be leveraged through machine learning models to enhance the spatial resolution of sea surface height estimates. By fusing multiple satellite-derived variables, the approach aims to improve the representation of ocean dynamics and mesoscale features.

Ocean Sciences 2026 - Jorge Velasco next to his poster

Ocean Sciences 2026 - Jorge Velasco

Their participation highlights the department’s continued contributions to interdisciplinary research combining advanced computational methods, machine learning, and oceanographic data to improve our understanding and monitoring of the marine environment.

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