Wavelet spectrum analysis uncovers spatial and temporal variability of solar radiation, suggesting implications for environmental sustainability and agricultural productivity.
Solar radiation, a fundamental driver of Earth's climate system, exhibits significant spatial and temporal variability across different geographical locations. This study employs wavelet spectrum transforms to analyse hourly solar radiation data spanning two decades over selected cities: Ibadan and Lagos in Nigeria, and New Richmond in the United States. Continuous wavelet transforms with the Morlet wavelet function are utilized to dissect the complex dynamics of solar radiation patterns. The analysis reveals distinct temporal trends and spatial distributions of solar radiation, providing insights into environmental sustainability, agricultural productivity, and socio-economic implications. By elucidating the intricate relationship between solar radiation variability and geographical locations, this study contributes to inform decision-making in renewable energy planning, climate adaptation strategies, and public health interventions.
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Olatona et al. (2025) studied this question.
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