Physics-Encoded Inverse Modeling for Arctic Snow Depth Prediction

ArXi:2601.17074v4 Announce Type: replace-cross Accurate estimation in time-varying inverse problems under limited and sparse observations remains a fundamental challenge across scientific domains. For example, snow depth estimation requires inferring hidden parameters governing sea ice physics, which can be incorporated through physics-informed encoding. To address this challenge, we