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VIII. Earth Earns: An Open Participatory Earthropocene to Astropocene CoCreative Future

2. Global Climate Change as a Complex Dynamical System

Molkenthin, Nora, et al. Network from Flows: From Dynamics to Topology. Nature Scientific Reports. 4/4119, 2014. A team from the Potsdam Institute for Climate Impact Research including Jurgen Kurths make a significant contribution to the study and understanding of ultra-intricate global weather patterns and processes by way of universal network principles.

Complex network approaches have recently been applied to continuous spatial dynamical systems, like climate, successfully uncovering the system's interaction structure. However the relationship between the underlying atmospheric or oceanic flow's dynamics and the estimated network measures have remained largely unclear. We bridge this crucial gap in a bottom-up approach and define a continuous analytical analogue of Pearson correlation networks for advection-diffusion dynamics on a background flow. Analysing complex networks of prototypical flows and from time series data of the equatorial Pacific, we find that our analytical model reproduces the most salient features of these networks and thus provides a general foundation of climate networks. The relationships we obtain between velocity field and network measures show that line-like structures of high betweenness mark transition zones in the flow rather than, as previously thought, the propagation of dynamical information. (Abstract)

Moon, Woosok and John Wettlaufer. Coupling Functions in Climate. Philosophical Transactions of the Royal Society A. 377/0006, 2019. In a special issue on how complex networks convey information, Stockholm University mathematicians apply these dynamic geometries to hyper-complex world weather conditions.

We examine how coupling functions in the theory of dynamical systems provide a quantitative window into climate dynamics. We demonstrate the method on two tropical climate indices, the El-Niño–Southern Oscillation (ENSO) and the Indian Ocean Dipole (IOD), to interpret the mutual interactions between these air–sea interaction phenomena in the Pacific and Indian Oceans. The coupling function reveals that the ENSO mainly controls the seasonal variability of the IOD during its mature phase. This demonstrates the plausibility of a network model for the seasonal variability of climate systems based on such coupling functions. (Abstract)

Palmer, Tim. Climate Extremes and the Role of Dynamics. Proceedings of the National Academy of Sciences. 110/5281, 2013. A commentary by the British theoretical physicist and senior climatologist (search) presently at Clarendon Laboratory, Oxford University, on a paper in the same issue “Quasiresonant Amplification of Planetary Waves and Recent Northern Hemisphere Weather Extremes” by Vladimir Petoukov, Stefan Rahmstorf, Stefan Petri, and Hans Schellnhuber, of the Potsdam Institute for Climate Research. Although the multifactorial intricacies of worldwide weather, as it experiences more erratic oscillations, are quite computationally daunting, it is imperative that this encompassing, critically poised, earth system be fully treated by the natural sciences of nonlinear complexity.

One of the most societally important manifestations of climate change is the changing frequency and amplitude of extreme weather and climate events. A simple conceptual picture of why climate change may lead to an increase in weather extremes is that as the atmosphere warms, the specific humidity of the air increases, and in regions of enhanced latent heat release circulation patterns become more intense. Such arguments, although relevant, are primarily thermodynamic in nature; the effect on the dynamics of the climate system is secondary. However, those with a background in climate dynamics have little doubt that dynamical considerations will play as important a role in our understanding of climate change as the simpler thermodynamic arguments. Unfortunately, our understanding of the dynamical processes that influence such extremes is currently rather poor. (Palmer, 5281)

Palmer, Tim. The ECMWF Ensemble Prediction System: Looking Back 25 Years and Projecting Forward 25 Years. arXiv:18013.06940. The Oxford University and European Center for Medium-Range Weather Forecasts physicist has pioneered the application of stochastic physical principles as a way to extract discernible patterns from Earth’s ultra-intricate and dynamic local and global weather. This present posting broadly reviews the project. For an actual example see The Impact of Stochastic Physics on Tropical Rainfall Variability in Journal of Geophysical Research (May 2017, from TPs website).

Palmer, Tim and Bjorn Stevens. The Scientific Challenge of Understanding and Estimating Climate Change. Proceedings of the National Academy of Sciences. 116/24390, 2019. Senior Oxford University and MPI Meteorology theorists are concerned that present local and global quantifications remain quite inadequate to this imperative project of gaining deeper accuracies and understandings, which can then aid prediction and mitigation.

Given the slow unfolding of what may become catastrophic changes to Earth’s climate, many are understandably distraught by failures of public policy to rise to the magnitude of the challenge. Few in the science community would think to question the scientific response to the unfolding changes. However, is the science community continuing to do its part to the best of its ability? In the domains where we can have the greatest influence, is the scientific community articulating a vision commensurate with the challenges posed by climate change? We think not. (Abstract)

Palmer, Tim, et al. Stochastic Modelling and Energy-Efficient Computing for Weather and Climate. Philosophical Transactions of the Royal Society A. 372/Issue 2018, 2014. Tim Palmer (search) is a leading climate theorist and activist. An introduction to an issue by Oxford University physicists about scientific efforts to come to grips with this ultra-intricate domain by way of sophisticated computation. A typical paper is Scaling Laws for Parametrizations of Subgrid Interactions in Simulations of Oceanic Circulations. See also Palmer’s note Build High-Resolution Global Climate Models in Nature (515/338, 2014) OK

This paper sets out a new methodological approach to solving the equations for simulating and predicting weather and climate. In this approach, the conventionally hard boundary between the dynamical core and the sub-grid parametrizations is blurred. This approach is motivated by the relatively shallow power-law spectrum for atmospheric energy on scales of hundreds of kilometres and less. It is first argued that, because of this, the closure schemes for weather and climate simulators should be based on stochastic–dynamic systems rather than deterministic formulae. As the era of exascale computing is approached, an energy- and computationally efficient approach to cloud-resolved weather and climate simulation is described where determinism and numerical precision are focused on the largest scales only. (Abstract excerpt)

Palus, Milan. Cross-Scale Interactions and Information Transfer. Entropy. 16/10, 2014. After an introduction to independent, self-similar complexity phenomena, an Academy of Sciences of the Czech Republic, Nonlinear Dynamics and Complex Systems Group physicist describes its manifest presence across climatic temperature scales. See also his paper Multiscale Atmospheric Dynamics: Cross-Frequency Phase-Amplitude Coupling in the Air Temperature in Physical Review Letters (112/078702, 2014).

An information-theoretic approach for detecting interactions and information transfer between two systems is extended to interactions between dynamical phenomena evolving on different time scales of a complex, multiscale process. The approach is demonstrated in the detection of an information transfer from larger to smaller time scales in a model multifractal process and applied in a study of cross-scale interactions in atmospheric dynamics. (Abstract)

Rial, Jose. Abrupt Climate Change: Chaos and Order at Orbital and Millennial Scales. Global and Planetary Change. 41/1, 2004. A University of North Carolina geologist provides a rare technical analysis of earth’s atmosphere in terms of a complex nonlinear system. By this accurate perception, world weather is in danger of being unpredictably perturbed into sudden shifts to radically different, unpredictable regimes. Some seven years later one only has to look out the window. See also herein Carolyn Snyder, et al. The Complex Dynamics of the Climate System: Constraints on our Knowledge, Policy Implications and the Necessity of Systems Thinking. for a 2011 call to press this dynamic approach.

Rial, Jose, et al. Nonlinearites, Feedbacks and Critical Thresholds Within the Earth’s Climate System. Climatic Change. 65/1-2, 2004. Eleven authors from as many laboratories contend that global weather is best understood as an interlinked multitude of critically poised complex systems. The worldwide research community is entreated to adopt this “nonlinear paradigm if we are to move forward in the assessment of the human influence on climate.”

Scheffer, Marten, et al. Anticipating Critical Transitions. Science. 338/344, 2012. A dozen leading researchers including Tim Lenton, Jordi Bascompte, Mercedes Pascual, and Simon Levin draw upon the nonlinear systems literature seen stretching across “physical, chemical, tectonic, microbiology, ecological, physiology, behavioral, societal, economic, and notably climatic” fields to lay out a broad theoretical approach able to give indications of “tipping point” changes and calamities. But even days after Superstorm Sandy, the old misnomer “global warming” is still used. Such wild weather patterns as true dynamic complexities do not moderate, since human civilization drivers remain, but move to increasingly extreme oscillations, in much peril of shifting to a catastrophic new attractor or set point.

Tipping points in complex systems may imply risks of unwanted collapse, but also opportunities for positive change. Our capacity to navigate such risks and opportunities can be boosted by combining emerging insights from two unconnected fields of research. One line of work is revealing fundamental architectural features that may cause ecological networks, financial markets, and other complex systems to have tipping points. Another field of research is uncovering generic empirical indicators of the proximity to such critical thresholds. Although sudden shifts in complex systems will inevitably continue to surprise us, work at the crossroads of these emerging fields offers new approaches for anticipating critical transitions. (Abstract)

Selvam, Amujuri Mary. Self-Organized Criticality and Predictability in Atmospheric Flows: The Quantum World of Clouds and Rain. International: Springer, 2017. The senior physicist author is deputy director of the Indian Institute of Tropical Meteorology in Poona. As the quote says, the volume is a sophisticated, exemplary witness that even hyper-active complex weather phenomena can be found to reside in nature’s universally preferred state.

This book presents a new concept of General Systems Theory and its application to atmospheric physics. It reveals that energy input into the atmospheric eddy continuum, whether natural or manmade, results in enhancement of fluctuations of all scales, such as the high-frequency fluctuations of the Quasi-Biennial Oscillation and the El-Nino–Southern Oscillation cycles. These atmospheric flows then exhibit a self-organised criticality via long-range spatial and temporal correlations which manifest as fractal self-similar patterns with an inverse power law form. Since the probability distributions of amplitude and variance are the same, atmospheric flows exhibit quantum-like chaos. Long-range correlations inherent to power law distributions of fluctuations are identified as nonlocal connection or entanglement exhibited by quantum systems such as electrons or photons.

Singh, Martin and Morgan O’Neill. The Climate System and the Second Law of Thermodynamics. Reviews of Modern Physics. 94/015001, January, 2022. Monash University, Australia and Stanford University Earth system scientists provide an advanced quantification to date with over 70 pages and hundreds of references. A topical outline includes The Climate System as a Heat Engine, Irreversible Processes, Material Energy Budget, Moist Atmospheric Convection, Tropical Cyclones, Radiative Convection, Exoplanet Implications, and so on. If to reflect, an especial Gaian abide now transitions to a collaborative global phase by which to gain better knowledge and abilities by which to maintain and sustain. But at the same while, a world war may consume us. Our dilemma involves a worldwise decision to reach a better light age, or backwards to eternal dark ages.

The second law of thermodynamics implies a relationship between the net entropy export by Earth and its internal irreversible entropy production. Here we consider this constraint to better analyze and understand climate change issues, to which both radiative and material processes contribute. In regard, an entropy budget is derived that accounts for the multiphase nature of the hydrological cycle. Such theories can be successful if they can account for the irreversible entropy production associated with water in all its atmospheric phases. Finally, climatic and geophysical flows are reviewed, by way of equilibrium statistical mechanics so to predict long-lived coherent structures and maximum entropy production. (Abstract excerpt)

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