Ocean Data

Ocean data research focuses on improving the collection, analysis, and application of diverse oceanographic data, aiming to enhance our understanding of ocean processes and their impact on climate and human activities. Current research emphasizes developing advanced machine learning models, including Bayesian neural networks, Gaussian processes, and large language models (LLMs) specifically trained on ocean data, to address challenges like data sparsity, quality assessment, and interpolation of sea surface height and other variables. These advancements are crucial for improving the accuracy of ocean forecasts, enabling more effective monitoring of ocean health, and supporting applications such as renewable energy resource prediction and flood mitigation. The development of standardized benchmarking frameworks, like OceanBench, further facilitates progress in the field by providing common datasets and evaluation metrics.