3 papers
cs.LG2026
Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting
Danyang Li, John Taylor, Thang Bui +1
Antarctic sea ice concentration (SIC) forecasting is an important yet challenging task due to the coexistence of complex spatial structure, long-range temporal dependencies, and st…
cs.CE2026
Domain-Decomposed Lagrangian Data Assimilation for Drifting Sea-Ice Floe Dynamics
Danyang Li, John Taylor, Quanling Deng
Sea ice dynamics are crucial to the global climate system, yet traditional continuum (e.g., viscous-plastic) models often fail to represent the discrete floe interactions that domi…
physics.ao-ph2023
PAUNet: Precipitation Attention-based U-Net for rain prediction from satellite radiance data
P. Jyoteeshkumar Reddy, Harish Baki, Sandeep Chinta +2
This paper introduces Precipitation Attention-based U-Net (PAUNet), a deep learning architecture for predicting precipitation from satellite radiance data, addressing the challenge…