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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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Machine Learning for Bias-Correction of Extreme Precipitation Indices Over West Africa

2025Earth Systems and EnvironmentJournal

10.1007/s41748-025-00961-z Full text0 citations

Authors

7 authors across 3 institutions in 2 countries.

Isiaq A. OkeyodeFirst authorCorresponding
- Federal University of Technology (NG)
as printed: Isiaq Adebayo Okeyode
V. O. Ajayi
- Federal University of Technology (NG)
as printed: Vincent Olanrewaju Ajayi
A. V. Arowolo
- Federal University of Technology (NG)
as printed: Ayomide Victor Arowolo
M. T. Odunmorayo
- Federal University of Technology (NG)
as printed: Michael Temitayo Odunmorayo
Michael Ochei
- Federal University of Technology (NG)
as printed: Michael Chukwuemeka Ochei
Ibraheem Ayomide Raji
Ibrahim Adedapo TellaSenior author

Fields

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

Climate variability and modelslevel 3 · 0.98
Meteorological Phenomena and Simulationslevel 3 · 0.01
Hydrology and Drought Analysislevel 3 · 0.00

Sources

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

openalexseen September 9, 2026
2025 · Earth Systems and Environment · 0 citations
https://openalex.org/W7116674204

Machine Learning for Bias-Correction of Extreme Precipitation Indices Over West Africa · Sankore