Nonlinear Dynamics, Analytics and Predictability of Complex Geophysical Systems
Author: Perdigão
Publisher:
Published: 2018-04-20
Total Pages: 350
ISBN-13: 9781119308720
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Nonlinear Dynamics and Predictability of Geophysical Phenomena
Author: William I. Newman
Publisher: American Geophysical Union
Published: 1994-01-10
Total Pages: 128
ISBN-13:
DOWNLOAD EBOOKPublished by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 83. The goal of this volume is to establish an understanding and interdisciplinary cooperation among geophysicists and nonlinear dynamicists. While the last thirty years has brought substantial progress in the study of the atmosphere and ocean as well as of convection in the Earth's mantle and core, the nonlinear revolution is only beginning to have an impact on the investigation of the solid Earth. The problem of predictability in chaotic nonlinear systems is one of the most important and difficult subjects in modern nonlinear science. In its application to geophysics and, especially, earthquake prediction, it presents both a profound intellectual problem and an issue with important societal implications.
Nonlinear Dynamics in Geosciences
Author: Anastasios A. Tsonis
Publisher: Springer Science & Business Media
Published: 2007-10-23
Total Pages: 603
ISBN-13: 0387349189
DOWNLOAD EBOOKThis work comprises the proceedings of a conference held last year in Rhodes, Greece, to assess developments during the last 20 years in the field of nonlinear dynamics in geosciences. The volume has its own authority as part of the Aegean Conferences cycle, but it also brings together the most up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences, and discusses the advances made and the future directions of nonlinear dynamics.
Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems
Author: M. Reza Rahimi Tabar
Publisher: Springer
Published: 2019-07-04
Total Pages: 280
ISBN-13: 3030184722
DOWNLOAD EBOOKThis book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristics of the fluctuations (including diffusion and jump contributions), and construct a stochastic evolution equation? Here, the term "non-parametrically" exemplifies that all the functions and parameters of the constructed stochastic evolution equation can be determined directly from the measured data. The book provides an overview of methods that have been developed for the analysis of fluctuating time series and of spatially disordered structures. Thanks to its feasibility and simplicity, it has been successfully applied to fluctuating time series and spatially disordered structures of complex systems studied in scientific fields such as physics, astrophysics, meteorology, earth science, engineering, finance, medicine and the neurosciences, and has led to a number of important results. The book also includes the numerical and analytical approaches to the analyses of complex time series that are most common in the physical and natural sciences. Further, it is self-contained and readily accessible to students, scientists, and researchers who are familiar with traditional methods of mathematics, such as ordinary, and partial differential equations. The codes for analysing continuous time series are available in an R package developed by the research group Turbulence, Wind energy and Stochastic (TWiSt) at the Carl von Ossietzky University of Oldenburg under the supervision of Prof. Dr. Joachim Peinke. This package makes it possible to extract the (stochastic) evolution equation underlying a set of data or measurements.
Nonlinear Dynamics of the Lithosphere and Earthquake Prediction
Author: Vladimir Keilis-Borok
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 348
ISBN-13: 3662052989
DOWNLOAD EBOOKThe vulnerability of our civilization to earthquakes is rapidly growing, rais ing earthquakes to the ranks of major threats faced by humankind. Earth quake prediction is necessary to reduce that threat by undertaking disaster preparedness measures. This is one of the critically urgent problems whose solution requires fundamental research. At the same time, prediction is a ma jor tool of basic science, a source of heuristic constraints and the final test of theories. This volume summarizes the state-of-the-art in earthquake prediction. Its following aspects are considered: - Existing prediction algorithms and the quality of predictions they pro vide. - Application of such predictions for damage reduction, given their current accuracy, so far limited. - Fundamental understanding of the lithosphere gained in earthquake prediction research. - Emerging possibilities for major improvements of earthquake prediction methods. - Potential implications for predicting other disasters, besides earthquakes. Methodologies. At the heart of the research described here is the inte gration of three methodologies: phenomenological analysis of observations; "universal" models of complex systems such as those considered in statistical physics and nonlinear dynamics; and Earth-specific models of tectonic fault networks. In addition, the theory of optimal control is used to link earthquake prediction with earthquake preparedness.
Dynamic Systems and Dynamic Classification Problems in Geophysical Applications
Author: Jacques Octave Dubois
Publisher: Springer Science & Business Media
Published: 2013-03-13
Total Pages: 270
ISBN-13: 3642499511
DOWNLOAD EBOOKThis book is the latest volume in the series entitled " Data and Knowledge in a Changing World ", published by the Committee on Data for Science and Technology (CODATA) of the International Council of Scientific Unions (Icsu). This series was established to collect together, from many diverse fields, the wealth of information pertaining t.o the intelligent exploitation of data in the conduct of science and technology. This volume is the first in a two-volume series that will discuss techniques for the analysis of natural dynamic systems, and their applications to a variety of geophysical problems. The present volume lays out the theoretical foun dations for these techniques. The second volume will use these techniques in applications to fields such as seismology, geodynamics, geoelectricity, ge omagnetism, aeromagnetics, topography and bathymetry. The book consists of two parts, which describe two complementary ap proaches to the analysis of natural systems. The first, written by A. Gvishi ani, deals with dynamic pattern recognition. It lays out the mathematical VI Foreword theory and the formalized algorithms that. forms the basis for the classifi cation of vector objects and the use of this classification in the study of dynamical systems, with particular emphasis on the prediction of system behavior in space and time. It discusses the construction of classification schemes, and the evaluation of their stability and reliability.
Nonlinear Time Series Analysis in the Geosciences
Author: Reik V. Donner
Publisher: Springer
Published: 2008-08-03
Total Pages: 392
ISBN-13: 3540789383
DOWNLOAD EBOOKThe enormous progress over the last decades in our understanding of the mechanisms behind the complex system “Earth” is to a large extent based on the availability of enlarged data sets and sophisticated methods for their analysis. Univariate as well as multivariate time series are a particular class of such data which are of special importance for studying the dynamical p- cesses in complex systems. Time series analysis theory and applications in geo- and astrophysics have always been mutually stimulating, starting with classical (linear) problems like the proper estimation of power spectra, which hasbeenputforwardbyUdnyYule(studyingthefeaturesofsunspotactivity) and, later, by John Tukey. In the second half of the 20th century, more and more evidence has been accumulated that most processes in nature are intrinsically non-linear and thus cannot be su?ciently studied by linear statistical methods. With mat- matical developments in the ?elds of dynamic system’s theory, exempli?ed by Edward Lorenz’s pioneering work, and fractal theory, starting with the early fractal concepts inferred by Harold Edwin Hurst from the analysis of geoph- ical time series,nonlinear methods became available for time seriesanalysis as well. Over the last decades, these methods have attracted an increasing int- est in various branches of the earth sciences. The world’s leading associations of geoscientists, the American Geophysical Union (AGU) and the European Geosciences Union (EGU) have reacted to these trends with the formation of special nonlinear focus groups and topical sections, which are actively present at the corresponding annual assemblies.
Building Safer Communities
Author: Urbano Fra Paleo
Publisher: IOS Press
Published: 2009
Total Pages: 296
ISBN-13: 1607500469
DOWNLOAD EBOOKThis book is a collection of essays, bringing together seventeen contributions from different disciplines, with various, but complementary points of view, to discuss the directions and key components of risk governance. Some of the many issues of interest to risk scholars addressed in this work include the analysis of proactive approaches to the governance of risk from natural hazards; approaches to broaden the scope of public policies related to the management of risks from natural hazards, including emergency and environmental management, community development and spatial planning.
Nonlinear Dynamics and Statistical Theories for Basic Geophysical Flows
Author: Andrew Majda
Publisher: Cambridge University Press
Published: 2006-05-11
Total Pages: 564
ISBN-13: 1139452274
DOWNLOAD EBOOKThe general area of geophysical fluid mechanics is truly interdisciplinary. Now ideas from statistical physics are being applied in novel ways to inhomogeneous complex systems such as atmospheres and oceans. In this book, the basic ideas of geophysics, probability theory, information theory, nonlinear dynamics and equilibrium statistical mechanics are introduced and applied to large time-selective decay, the effect of large scale forcing, nonlinear stability, fluid flow on a sphere and Jupiter's Great Red Spot. The book is the first to adopt this approach and it contains many recent ideas and results. Its audience ranges from graduate students and researchers in both applied mathematics and the geophysical sciences. It illustrates the richness of the interplay of mathematical analysis, qualitative models and numerical simulations which combine in the emerging area of computational science.
Advances in Nonlinear Geosciences
Author: Anastasios A. Tsonis
Publisher: Springer
Published: 2017-10-13
Total Pages: 708
ISBN-13: 3319588958
DOWNLOAD EBOOKAdvances in Nonlinear Geosciences is a set of contributions from the participants of “30 Years of Nonlinear Dynamics” held July 3-8, 2016 in Rhodes, Greece as part of the Aegean Conferences, as well as from several other experts in the field who could not attend the meeting. The volume brings together up-to-date research from the atmospheric sciences, hydrology, geology, and other areas of geosciences and presents the new advances made in the last 10 years. Topics include chaos synchronization, topological data analysis, new insights on fractals, multifractals and stochasticity, climate dynamics, extreme events, complexity, and causality, among other topics.
