Climate science has been revolutionized by the combined effects of an exponential growth
in computing power, which has enabled more sophisticated and higher-resolution …

Underwater acoustic target recognition has always played a pivotal role in ocean remote
sensing. By analyzing and processing ship-radiated signals, it is possible to determine the …

We introduce deep generative diffusion for multivariate and regional surrogate modeling
learned from sea‐ice simulations. Given initial conditions and atmospheric forcings, the …

This paper proposes a two-stage framework named ST-PAD for spatio-temporal fluid
dynamics modeling in the field of earth sciences, aiming to achieve high-precision …

Accurate ocean dynamics modeling is crucial for enhancing understanding of ocean
circulation, predicting climate variability, and tackling challenges posed by climate change …

This report summarises the main outcomes of the 4th edition of the workshop on Machine
Learning (ML) for Earth System Observation and Prediction (ESOP/ML4ESOP) co-organised …

This paper provides an outlook on the future of operational weather prediction given the
recent evolution in science, computing and machine learning. In many parts, this evolution …

Oceanic eddy kinetic energy (EKE) is a key quantity for measuring the intensity of mesoscale
eddies and for parameterizing eddy effects in ocean climate models. Three decades of …

Tropical cyclones (TCs) are highly destructive weather systems, typically accompanied by
heavy rainfall, extreme winds and storm surges, significantly impacting residents' safety and …

Accurate ocean forecasting is crucial in different areas ranging from science to decision
making. Recent advancements in data-driven models have shown significant promise …