Nonlinear Processes in Geosciences

This month the NPG Paper of the Month award is achieved by Courtney Quinn for her paper “Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems” (https://www.nonlin-processes-geophys.net/27/51/2020/). Dr. Courtney obtained her PhD in Mathematics at the University of Exeter (UK) researching critical transitions in dynamical systems. She …[Read More]

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The Nonlinear Processes in Geosciences (NP) Division is an interdisciplinary division which is concerned with all aspects on nonlinear and stochastic theories, methods and data in the geosciences. The NP division is focused on a series of nonlinear paradigms whose applications cut across the different disciplines of the geosciences (hydrosphere, atmosphere, biosphere, lithosphere, space sphere…). Examples include chaos, tipping points, nonlinear waves, similarity across scales (scaling, scale invariance, fractals, multifractals), network theory, nonlinear stochastics, predictability and its limits, pattern formation, self-organised criticality, extreme events, deep learning… The NP division welcomes mathematical and theoretical approaches, as well as applications including new methodologies, new modelling and new data analysis techniques.

lyapunov exponents

NPG Paper of the Month: “Application of a local attractor dimension to reduced space strongly coupled data assimilation for chaotic multiscale systems”