The Latest Developments in Met Office Science and its Relevance to 21st Century Big Data Problems
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Weather and Climate Science and Services
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Mitigating weather and climate risk: Forewarned is forearmed
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Big Data, Big Science: Making a Weather Forecast
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Observations
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Weather and climate prediction: It's all about simulation.....
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Fundamentals of weather and climate simulation
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Lots of physics goes on at scales smaller than the model grid
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Forecasting Process Chaos Theory, Ensembles and Probabilities
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In a nonlinear system, predictability is flow dependent - and predictable
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Basics of Ensemble Forecasting
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Forecasts 5-6 days out
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The influence of external forcing, f, on the state vector probability function is itself predictable.
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Climate Prediction and understanding future risks
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National Flood Resilience Review How bad could our rainfall be?
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Looking for 'black swans' 2 in a climate model event set
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Looking for 'black swans' in a climate model event set
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Looking for 'black Swan' events for the current climate
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Risk of an unprecedented month of rainfall occurring during a given winter
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From global to local: what does more rain look like?
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Integrated Approach to Flood Risk: Joining Models and Joining Data
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Dealing with the Rat's NestlDecoupling Data and Applications
Description:
Explore the intersection of big data, meteorology, and 21st-century challenges in this comprehensive lecture by Professor Dame Julia Slingo. Delve into the latest developments in Met Office science, uncovering the intricate process of weather forecasting and climate prediction. Learn how the Met Office gathers, analyzes, and creates big data through a fusion of observations, models, and theory. Discover the role of supercomputing infrastructure in performing state-of-the-art simulations that serve as computational laboratories for understanding atmospheric, oceanic, and climate systems. Examine how predictions across various timescales are used to address resilience to weather, climate, and environmental hazards. Gain insights into the importance of interdisciplinary partnerships in tackling the impacts of natural hazards and how advances in simulation, data analytics, and informatics can maximize the societal benefits of weather and climate science.