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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2026-04-01
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| Seri Bilgileri: | Journal of Hydrology: Regional Studies |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2214581826000467 |
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