Rainfall prediction models often lose skill when transferred across regions, particularly in data-sparse settings where local recalibration is not feasible. This study investigates whether topographically analogous landscapes exhibit consistent patterns of model portability in next-day rainfall occurrence prediction ac...
Ogochukwu Ejike, D. Ndzi, M. Shakir· Forecasting· 0 citations
The findings indicate that artificial neural networks and random forest models were most frequently reported as high performing within individual studies, but direct comparisons across studies are limited by heterogeneity in prediction targets, validation strategies, lead times, heatwave definitions, and performance me...
Adam Ashford, Fahad Ayaz, M. Shakir et al.· Forecasting· 0 citations
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