| Description |
1 online resource (xxvi, 468 pages) : illustrations (some color) |
| Series |
Mathematics Online First Collections |
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Mathematics online first collections
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| Contents |
Intro -- Foreword -- Preface -- Index Gratiarum -- Thanks to Scientific and Editorial Advisers -- Contents of Volume I -- Contents of Volume II -- Part I: Geosphere: Climate, Cosmology, Matter -- Multiplicity of Time Scales in Climate and the Earth System -- 1 Introduction -- 2 Decomposing the Earth System -- 2.1 The Fast Part of the Earth System -- 2.1.1 Fast Climate and Earth System Phenomena -- 2.2 The Complete Earth System -- 2.2.1 Long-Term Internal Phenomena in the Complete Earth System -- 3 Thoughts on Present-Day Vertical Global Mean Energy Flows |
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4 Climate Drivers, Radiative Forcing, Feedbacks, and Climate Sensitivity -- 4.1 Natural Drivers of Variations in the Earth System -- 4.2 Definitions of Radiative Forcing -- 4.3 Anthropogenic Radiative Forcing of Climate -- 4.4 Feedbacks in the Climate System -- 4.5 Climate Sensitivity -- 4.6 Sensitivity and Individual Feedbacks in Global Models -- 5 Modeling the Phenomena Including Anthropogenic Climate Change -- 5.1 Similarity Between Earth System, Climate Models, and Numerical Weather Prediction Models -- 5.2 Components in Climate Models |
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5.3 The Fundamental Physical Laws for the Atmospheric Model Component -- 5.4 Numerical Simulation of the Atmospheric Model Component -- 5.5 Historical Evolution of NWP and Climate Models -- 6 Chaos and Predictability -- 7 Validation of Climate Models -- 7.1 Atmospheric Temperature Near the Surface -- 7.2 Precipitation -- 7.3 Paleoclimatic Validation -- 7.4 Biases in the Magnitude of Annual Variations -- 8 Conclusions -- 9 Acronyms -- References -- Climate Dynamics: The Dichotomy of Stochastic Concepts and Deterministic Modeling -- 1 Introduction -- 2 Two Examples |
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2.1 Bottles Drifting in the Baltic Sea -- 2.2 Intermittent Divergence in a Regional Atmospheric Model -- 3 Why Resorting to a Stochastic Description When the Dynamics Are Deterministic? -- 4 Dealing with Stochastic Behavior -- 4.1 Generating Ensembles -- 4.2 Stochastic Analysis -- 5 Conclusions -- References -- Further Reading -- The Climate System with Human Actors -- A Time Scale Perspective -- 1 Introduction -- 2 Bridging the Formation of IPCC to Decision-Making -- 3 The Role of Climate Models -- 3.1 Short-Term Climate Variability -- 3.2 Model Validation and Climate Model Emulators |
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3.3 Mitigation Options Under Scenarios and the Role of 2030 and 2050 Goals -- 4 Concluding Statements Regarding the Relevance of Time Scales -- References -- The Impact of Public Perception of Timescales in the Climate System on Mitigation Policies -- 1 Introduction -- 2 Climate Metrics -- 3 Discussion: Effect of Changing Metrics Under Fixed Targets -- 3.1 Public Awareness of Climate Change -- 4 Summary -- References -- Galaxy Formation from a Timescale Perspective -- 1 Introduction -- 2 Galaxy Formation and Evolution -- 2.1 The Luminosity Function -- 2.2 The Halo Mass Function -- 2.3 Gas Cooling in Dark Matter Halos |
| Summary |
This highly interdisciplinary volume brings together a carefully curated set of case studies examining complex systems with multiple time scales (MTS) across a variety of fields: materials science, epidemiology, cell physiology, mathematics, climatology, energy transition planning, ecology, economics, sociology, history, and cultural studies. The book addresses the vast diversity of interacting processes underlying the behaviour of different complex systems, highlighting the multiplicity of characteristic time scales that are a common feature of many and showcases a rich variety of methodologies across disciplinary boundaries. Self-organizing, out-of-equilibrium, ever-evolving systems are ubiquitous in the natural and social world. Examples include the climate, ecosystems, living cells, epidemics, the human brain, and many socio-economic systems across history. Their dynamical behaviour poses great challenges in the pressing context of the climate crisis, since they may involve nonlinearities, feedback loops, and the emergence of spatial-temporal patterns, portrayed by resilience or instability, plasticity or rigidity; bifurcations, thresholds and tipping points; burst-in excitation or slow relaxation, and worlds of other asymptotic behaviour, hysteresis, and resistance to change. Chapters can be read individually by the reader with special interest in such behaviours of particular complex systems or in specific disciplinary perspectives. Read together, however, the case studies, opinion pieces, and meta-studies on MTS systems presented and analysed here combine to give the reader insights that are more than the sum of the books individual chapters, as surprising similarities become apparent in seemingly disparate and unconnected systems. MTS systems call into question nave perceptions of time and complexity, moving beyond conventional ways of description, analysis, understanding, modelling, numerical prediction, and prescription of the world around us. This edited collection presents new ways of forecasting, introduces new means of control, and perhaps as the most demanding task it singles out a sustainable description of an MTS system under observation, offering a more nuanced interpretation of the floods of quantitative data and images made available by high- and low-frequency measurement tools in our unprecedented era of information flows |
| Notes |
Description based upon print version of record |
| Subject |
System theory.
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Time.
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time.
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| Form |
Electronic book
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| Author |
Christensen, Jens Hesselbjerg
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Richardson, Katherine.
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Vallès Codina, Oriol
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| ISBN |
9783031280498 |
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3031280490 |
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