Articles | Volume 29, issue 3
https://doi.org/10.5194/hess-29-627-2025
https://doi.org/10.5194/hess-29-627-2025
Research article
 | 
04 Feb 2025
Research article |  | 04 Feb 2025

Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study

Xudong Zheng, Dengfeng Liu, Shengzhi Huang, Hao Wang, and Xianmeng Meng

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Short summary
Water budget non-closure is a widespread phenomenon among multisource datasets which undermines the robustness of hydrological inferences. This study proposes a Multisource Dataset Correction Framework grounded in Physical Hydrological Process Modelling to enhance water budget closure, termed PHPM-MDCF. We examined the efficiency and robustness of the framework using the CAMELS dataset and achieved an average reduction of 49 % in total water budget residuals across 475 CONUS basins.
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