Entropy‐Guided Multivariate Groundwater Network Design for Multi‐Source Data Assimilation Under Observational Uncertainty

Abstract Observational uncertainty poses major challenges to groundwater model calibration. As the primary source of information for multi‐source data assimilation, monitoring network design is critical for accurately characterizing subsurface dynamics. Under limited measurement accuracy or cost con...

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Auteurs principaux:	Mingxu Cao, Zhenxue Dai, Junjun Chen
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2025-10-01
Collection:	Geophysical Research Letters
Sujets:	high‐noise observations multivariate networks design information entropy deep learning data utilization hydrogeological modeling
Accès en ligne:	https://doi.org/10.1029/2025GL117466
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