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August 16, 2025ClimateOpen Access

Comparative Study of Machine Learning-Based Rainfall Prediction in Tropical and Temperate Climates

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Comparative analysis reveals more predictable rainfall in temperate climates, highlighting implications for climate adaptation.

Rainfall in temperate climates is significantly more predictable than in tropical regions.
The Williams model demonstrated the highest accuracy, supported by atmospheric data from 2012 to 2015.
Logistic regression and random forest models were used to predict rainfall occurrence as a binary outcome.
Findings indicate urgent need for climate-specific models to address changing atmospheric dynamics.

Ejike et al. (2025) studied this question.

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