Parameter estimation for land-surface models using Neural Physics
arXiv:2505.02979v3 Announce Type: replace-cross
Abstract: We propose a novel inverse-modelling approach which estimates the parameters of a simple land-surface model (LSM) by assimilating data into a differentiable physics-based forward model. The gov…