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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Benchmarking transferable evapotranspiration against physical models: Uncertainty analysis of machine learning quasi-observation across Central Asia’s plant functional types and climate zones

2025Journal of Hydrology Regional StudiesJournalOpen access

10.1016/j.ejrh.2025.102849 Full text0 citations

Authors

5 authors across 7 institutions in 3 countries.

Friday Uchenna OchegeFirst authorCorresponding
- University of Port Harcourt (NG)
Xiuliang YuanCorresponding
Hossein Tabari
Rafiq Hamdi
Geping LuoSenior author

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Plant Water Relations and Carbon Dynamicslevel 3 · 0.91
Hydrology and Watershed Management Studieslevel 3 · 0.02
Hydrological Forecasting Using AIlevel 3 · 0.01

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · Journal of Hydrology Regional Studies · 0 citations
https://openalex.org/W4415629363

Benchmarking transferable evapotranspiration against physical models: Uncertainty analysis of machine learning quasi-observation across Central Asia’s plant functional types and climate zones · Sankore