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...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2026-04-01
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| Rangatū: | Journal of Hydrology: Regional Studies |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S2214581826000467 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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