This course aims to explore the intersection of big data, weather forecasting, and climate prediction at the Met Office, emphasizing its relevance to 21st-century challenges. The learning outcomes include understanding the fusion of observations, models, and theory in big data applications, as well as the role of supercomputing infrastructure in simulations. Participants will gain insights into the prediction process across various timescales and the utilization of data analytics to maximize societal benefits. The course covers topics such as weather and climate science, risk mitigation, ensemble forecasting, and climate prediction, providing a comprehensive overview of the field. The intended audience includes individuals interested in weather and climate science, data analytics, and interdisciplinary approaches to addressing natural hazards and environmental challenges. The teaching method involves lectures, case studies, and discussions led by an expert in the field.
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