Incorporating snow accumulation and melting into the Xin'anjiang model using differentiable parameter learning

The Xin'anjiang model stands as one of the most important hydrological models. This paper develops a differentiable Xin'anjiang model coupled with the CemaNeige module（dMXAJ）under the framework of differentiable parameter learning. Specifically，the long short-term memory（LSTM）network is employed to...

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Váldodahkkit:	Zexin CHEN, Tongtiegang ZHAO
Materiálatiipa:	Artigo
Giella:	Chinês
Almmustuhtton:	Editorial Office of Advances in Water Science 2025-03-01
Ráidu:	Shui kexue jinzhan
Fáttát:	hydrological modeling xin'anjiang model machine learning synergistic effect long short-term memory
Liŋkkat:	http://skxjz.nhri.cn/article/doi/10.14042/j.cnki.32.1309.2025.02.003
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