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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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Leveraging machine learning for accurate near-surface air temperature prediction to enhance climate adaptation in Ghana

2025Journal of African Earth SciencesJournal

10.1016/j.jafrearsci.2025.105877 Full text3 citations

Authors

9 authors across 5 institutions in 3 countries.

Collins OduroFirst author
Benjamin Kwapong Osibo
Solomon Obiri Yeboah Amankwah
Sangar Khan
Emmanuel Adu Gyamfi Kedjanyi
Oscar Famous Darteh
- Accra Technical University (GH)
Yiting Geng
Augustine O.K.N. Mensah
Naicheng WuSenior authorCorresponding

Fields

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

Climate variability and modelslevel 3 · 1.00
Meteorological Phenomena and Simulationslevel 3 · 1.00
Precipitation Measurement and Analysislevel 3 · 1.00

Sources

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

openalexseen September 5, 2026
2025 · Journal of African Earth Sciences · 3 citations
https://openalex.org/W4414827208

Leveraging machine learning for accurate near-surface air temperature prediction to enhance climate adaptation in Ghana · Sankore