Advection of the image point in probabilistically-reconstructed phase spaces
This paper proposes a probabilistic reconstruction method that enhances the "Advection of the image point" hyper-parameterisation approach to accurately and efficiently approximate ocean dynamics from limited data, demonstrating superior speed and accuracy compared to traditional high-resolution NEMO model simulations while offering potential applications in operational forecasting and data gap filling.