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A better understanding of the climate system is of great societal relevance, due to the importance of reliable environmental forecasts and the looming climate crisis. Recent progress ranges from improving operational forecasting systems to abstract results on infinite dynamical systems. These insights need to be brought together in an interdisciplinary environment, which this programme aims to provide. With a focus on the fluid dynamical components of the climate system, practitioners will learn from mathematicians and statisticians about new tools and techniques to analyse these, while at the same time interesting new challenges for the mathematical community will emerge. The programme will address questions relating to geophysical fluid dynamics and forecasting, such as qualitative and statistical behaviour of geophysical models, response to deterministic and stochastic perturbations, sources of predictability at different spatial and temporal scales, forecast verification, and data assimilation. We will be taking both mathematical and statistical perspectives as well as applied and operational perspectives at the same time.
The program will focus on models of intermediate complexity. These are models which, on the one hand, describe atmospheric fluid motion to some degree of realism, but on the other hand are amenable to mathematical techniques from the theory of dynamical systems, PDEs, SPDEs and statistical physics which are qualitative–analytical rather than numerical. Examples of such intermediate complexity models are quasi–geostrophic single and multi layer models and the(still hydrostatic) primitive equations. Models of intermediate complexity are an ideal test bed for questions related to stochastic climate models as rigorous proofs of concepts such as convergence to statistic equilibrium are possible. Furthermore, regarding Data Assimilation and stability of the non–linear filter, considerable progress has been made recently in the context of models of intermediate complexity.
The programme will bring together researchers with backgrounds ranging from pure mathematics, statistics, and data science, to researchers in weather and climate (both from academia as well as operational forecasting centres).
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INI is a creative collaborative space which is occupied by up to fifty-five mathematical scientists at any one time (and many more when there is a workshop). Some of them may not have met before and others may not realise the relevance of other research to their own work.
INI is especially important as a forum where early-career researchers meet senior colleagues and form networks that last a lifetime.
Here you can learn about all activities past, present and future, watch live seminars and submit your own proposals for research programmes.
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The Isaac Newton Institute aims to maximise the benefit of its scientific programmes to the UK mathematical science community in a variety of ways.
Whether spreading research opportunities through its network of correspondents, offering summer schools to early career researchers, or hosting public-facing lectures through events such as the Cambridge Festival, there is always a great deal of activity to catch up on.
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“A world famous place for research in the mathematical sciences with a reputation for efficient management and a warm welcome for visitors”
The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period.
INI has a vital national role, building on many strengths that already exist in UK universities, aiming to generate a new vitality through stimulating and nurturing research throughout the country.During each scientific programme new collaborations are made and ideas and expertise are exchanged and catalysed through lectures, seminars and informal interaction, which the INI building has been designed specifically to encourage.
For INI’s knowledge exchange arm, please see the Newton Gateway to Mathematics.
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Our administrative staff can help you with any queries regarding a prospective or planned visit. If you would like to discuss a proposed a research programme or other event, our senior management team will be happy to help.