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Natalie Dickinson

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Review Open access Jul 2026

Machine Learning for Heatwave Prediction: A Global Scoping Review of Environmental Predictors and Modelling Practices

As extreme heat events increase in frequency, intensity, and duration due to climate change, forecasting these events has become vital for early warning systems, public health preparedness, and climate adaptation strategies, especially in parts of the world that are already subject to extreme heat, such as tropical reg...

Adam Ashford, Fahad Ayaz, M. Shakir et al. · 0 citations
Review Open access Aug 2026

Deep learning techniques for extreme rainfall prediction: a review of state-of-the-art

The analysis reveals a transition from deterministic DI models to hybrid, physics-informed, uncertainty-aware, and operational forecasting systems that increasingly integrate AI with physical knowledge and heterogeneous environmental observations.

Braiton U. Mukhalela, S. Viriri, D. Ndzi et al. · 0 citations
Review Open access Jul 2026

Flood modelling and flood decision making: a scoping review of the progress of flood technologies and applications

Flood intensity and frequency are expected to continue rising due to climate change, necessitating improved prevention measures. Despite the growing body of research, communities and economies remain severely affected by the consequences of floods, underscoring the need to examine how flood models are understood and tr...

Irvin D. Shandu, M. Gebreslasie, Sifiso Xulu et al. · 0 citations

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