arXiv Machine Learning July 14, 2026 By Ruiyue Huang, Claire E. Heaney, Maarten van Reeuwijk

Parameter estimation for land-surface models using Neural Physics

Read the original on arXiv Machine Learning →

arXiv:2505. 02979v4 Announce Type: replace-cross Abstract: We propose a novel inverse-modelling approach that estimates the parameters of a simple land-surface model (LSM) by assimilating data into a differentiable, physics-based forward model formulated using convolutional operations.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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