Machine Learning‐Based Air Temperature Prediction for Homa Bay County in Kenya: Implications for Weather‐Sensitive Sector Resilience

ABSTRACT This paper explores the challenges in temperature prediction, particularly in Homa Bay County, Kenya, a region with complex climatic conditions. Although traditional weather prediction models, such as numerical weather prediction, have limitations in regions with diverse topography, machine...

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Detalhes bibliográficos

Principais autores:	Hellen Omiti, Kennedy Senagi, Elias Muhatia, Betsy Muriithi, John Olukuru
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2026-05-01
Colecção:	Meteorological Applications
Assuntos:	artificial neural networks climate dynamics data‐driven climate modeling localized weather forecasting regression XGBoost
Acesso em linha:	https://doi.org/10.1002/met.70188
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