Month: March 2019
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The hammam effect or how a warm ocean enhances large scale atmospheric predictability
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Will climate change make weather forecasting harder than it currently is? Or, could a warmer planet make prediction easier? The answer isn’t obvious. Because atmospheric dynamics are chaotic, there are practical limits to predictability, regardless of data precision and available computing power.
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Common Trajectories for Urban Economies
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Large cities play a disproportionate role in global economic productivity and innovation. Their productivity advantage rests on specialization and the concentration of many diverse skills and capabilities in one place, multiplying economic opportunities and efficiencies. Even so, cities do not appear to […]
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LML Fellow Rainer Klages has been awarded a Mercator Fellowship to support an 8-month guest professorship at the Technical University of Berlin
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Rainer was recently nominated for the Fellowship by the Institute of Theoretical Physics at the Technical University of Berlin. The Fellowship will support a guest professorship, enabling him to work with scientists of the German Collaborative Research Centre ‘Control of self-organising nonlinear […]
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Conditioned Lyapunov exponents for random dynamical systems
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Lyapunov exponents play a central role in dynamical systems theory, and offer a measure of the local instability that lies behind deterministic chaos and the sensitive dependence of trajectories on initial conditions.