Reconstruction of global long-term daily streamflow dataset using machine learning models for revealing streamflow changes

Study regions: 314 major global watersheds. Study focus: In the context of widespread streamflow observation data gaps and significant basin heterogeneity worldwide, this study aims to construct a high-precision, long-term global daily-scale streamflow reconstruction dataset. Focusing on 314 major r...

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Xehetasun bibliografikoak

Egile Nagusiak:	Yingying Gao, Zengliang Luo, Huan Liu, Lunche Wang, Xi Chen, Huan Li
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Elsevier 2026-04-01
Saila:	Journal of Hydrology: Regional Studies
Gaiak:	Daily streamflow reconstruction Multi-model ensemble Trend analysis Extreme streamflow
Sarrera elektronikoa:	http://www.sciencedirect.com/science/article/pii/S2214581826000467
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