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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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Reconstructing monthly 0.25° terrestrial evapotranspiration data in a remote arid region using Bayesian-driven ensemble learning method

2024Journal of HydrologyJournal

10.1016/j.jhydrol.2024.131115 Full text6 citations

Authors

9 authors across 7 institutions in 3 countries.

Friday Uchenna OchegeFirst author
- University of Port Harcourt (NG)
Xiuliang YuanCorresponding
Clinton Ifeanyichukwu Ezekwe
- University of Port Harcourt (NG)
as printed: Ifeanyichukwu C. Ezekwe
Qing Ling
Vincent Nzabarinda
Alphonse Kayiranga
Mingjuan Xie
Haiyang Shi
Geping LuoSenior authorCorresponding

Fields

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

Plant Water Relations and Carbon Dynamicslevel 3 · 1.00
Climate variability and modelslevel 3 · 1.00
Meteorological Phenomena and Simulationslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2024 · Journal of Hydrology · 6 citations
https://openalex.org/W4393115308

Reconstructing monthly 0.25° terrestrial evapotranspiration data in a remote arid region using Bayesian-driven ensemble learning method · Sankore