Ruoying He

[Submitted on 9 Jul 2025] Title:Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity View a PDF of the paper titled Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity, by Niloofar Asefi and 4 other authors View PDF HTML (experimental) Abstract:Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions.

Abstract Methane hydrates on continental margins sequester substantial amounts of methane. Ocean warming often triggers hydrate dissociation, influencing global climate and marine ecosystems. Here we use ocean reanalysis to investigate bottom marine heatwaves affecting methane seeps at the Northwest Atlantic continental margin.

1 Introduction The Middle Atlantic Bight (MAB) is a region of the U.S. East Coast that spans from North Carolina to Massachusetts. Most notably, this region creates a hotspot around Cape Hatteras for studying open ocean and coastal ocean interactions. These interactions create strong gradients and complex circulation, which when studied, help us to better understand underlying principles about the physics of open ocean and shelf water exchanges at broader scales.