"Smallholder farmers in Africa would substantially benefit from better rainfall forecasts weeks to months in advance. This is particularly urgent in the face of changing climates and rainfall patterns, as evidenced by the recent extreme droughts and flooding across East Africa. Can AI-based forecasting and data assimilation techniques overcome predictability challenges in long-term rainfall forecasting and the sparsity of meteorological data on the African continent to enable this and other critical agricultural advisories? This talk will introduce the SheerWater Project, an initiative to develop open, use-driven, and localized benchmarks of weather and climate models, and to democratize the tools upon which the next generation of weather intelligence services for agriculture in Africa can be built."
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