Big Data, Met Office and 21st Century Problems

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.

Intro
The Latest Developments in Met Office Science and its Relevance to 21st Century Big Data Problems
Weather and Climate Science and Services
Mitigating weather and climate risk: Forewarned is forearmed
Big Data, Big Science: Making a Weather Forecast
Observations
Weather and climate prediction: It's all about simulation.....
Fundamentals of weather and climate simulation
Lots of physics goes on at scales smaller than the model grid
Forecasting Process Chaos Theory, Ensembles and Probabilities
In a nonlinear system, predictability is flow dependent - and predictable
Basics of Ensemble Forecasting
Forecasts 5-6 days out
The influence of external forcing, f, on the state vector probability function is itself predictable.
Climate Prediction and understanding future risks
National Flood Resilience Review How bad could our rainfall be?
Looking for 'black swans' 2 in a climate model event set
Looking for 'black swans' in a climate model event set
Looking for 'black Swan' events for the current climate
Risk of an unprecedented month of rainfall occurring during a given winter
From global to local: what does more rain look like?
Integrated Approach to Flood Risk: Joining Models and Joining Data
Dealing with the Rat's NestlDecoupling Data and Applications