State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models

State updating of the Xin'anjiang model: joint assimilating streamflow and multi-source soil moisture data via the asynchronous ensemble Kalman filter with enhanced error models

<p>Assimilating either soil moisture or streamflow individually has been well demonstrated to enhance the simulation performance of hydrological models. However, the runoff routing process may introduce a lag between soil moisture and outlet discharge, presenting challenges in simultaneously a...

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Main Authors: J. Gong, X. Liu, C. Yao, Z. Li, A. H. Weerts, Q. Li, S. Bastola, Y. Huang, J. Xu
Format: Article
Language:English
Published: Copernicus Publications 2025-01-01
Series:Hydrology and Earth System Sciences
Online Access:https://hess.copernicus.org/articles/29/335/2025/hess-29-335-2025.pdf
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