Mathematical and Physical Fundamentals of Climate Change

Mathematical and Physical Fundamentals of Climate Change
Author: Zhihua Zhang,John C. Moore
Publsiher: Elsevier
Total Pages: 494
Release: 2014-12-06
Genre: Science
ISBN: 9780128005835

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Mathematical and Physical Fundamentals of Climate Change is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. Mathematical and Physical Fundamentals of Climate Change provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes. Includes MatLab and Fortran programs that allow readers to create their own models Provides case studies to show how the math is applied to climate research Online resources include presentation files, lecture notes, and solutions to problems in book for use in classroom or self-study

Mathematical and Physical Fundamentals of Climate Change

Mathematical and Physical Fundamentals of Climate Change
Author: Zhihua Zhang,John C. Moore
Publsiher: Elsevier
Total Pages: 494
Release: 2017-11-13
Genre: Science
ISBN: 012810242X

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"Mathematical and Physical Fundamentals of Climate Change" is the first book to provide an overview of the math and physics necessary for scientists to understand and apply atmospheric and oceanic models to climate research. The book begins with basic mathematics then leads on to specific applications in atmospheric and ocean dynamics, such as fluid dynamics, atmospheric dynamics, oceanic dynamics, and glaciers and sea level rise. "Mathematical and Physical Fundamentals of Climate Change" provides a solid foundation in math and physics with which to understand global warming, natural climate variations, and climate models. This book informs the future users of climate models and the decision-makers of tomorrow by providing the depth they need. Developed from a course that the authors teach at Beijing Normal University, the material has been extensively class-tested and contains online resources, such as presentation files, lecture notes, solutions to problems and MATLab codes. Includes MatLab and Fortran programs that allow readers to create their own modelsProvides case studies to show how the math is applied to climate researchOnline resources include presentation files, lecture notes, and solutions to problems in book for use in classroom or self-study"

Big Data Mining for Climate Change

Big Data Mining for Climate Change
Author: Zhihua Zhang
Publsiher: Unknown
Total Pages: 344
Release: 2019-12
Genre: Electronic Book
ISBN: 9780128187036

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Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms

Patterns and Mechanisms of Climate Paleoclimate and Paleoenvironmental Changes from Low Latitude Regions

Patterns and Mechanisms of Climate  Paleoclimate and Paleoenvironmental Changes from Low Latitude Regions
Author: Zhihua Zhang,Nabil Khélifi,Abdelkader Mezghani,Essam Heggy
Publsiher: Springer
Total Pages: 188
Release: 2019-01-17
Genre: Science
ISBN: 9783030015992

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Middle East and Mediterranean region locates at a crossroad of global climatic patterns. The region is under the influence of a convergence of different maritime conditions which together with extensive adjacent land masses marked by extreme differences in topographical features transporting continental air masses lead to a diverse climate. This edited volume is based on the best papers accepted for presentation during the 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), Tunisia 2018. It gives new insights on patterns and mechanisms of past, present and future climate/environmental changes mainly on Middle East and Mediterranean region by international researchers. The book is of interest to all researchers in the fields of climate, paleo-climate and paleo-environmental studies. Main topics include: • Spatio-temporal Patterns of Climate Change • Sea Level Variability • Climate Change Impacts and Migration Schemes • Paleoclimate Evolution • Paleoenvironmental Evolution

Fundamentals of Satellite Remote Sensing

Fundamentals of Satellite Remote Sensing
Author: Emilio Chuvieco
Publsiher: CRC Press
Total Pages: 432
Release: 2020-01-22
Genre: Science
ISBN: 9780429014451

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Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, is a definitive guide to remote sensing systems that focuses on satellite-based remote sensing tools and methods for space-based Earth observation (EO). It presents the advantages of using remote sensing data for studying and monitoring the planet, and emphasizes concepts that make the best use of satellite data. The book begins with an introduction to the basic processes that ensure the acquisition of space-borne imagery, and provides an overview of the main satellite observation systems. It then describes visual and digital image analysis, highlights various interpretation techniques, and outlines their applications to science and management. The latter part of the book covers the integration of remote sensing with Geographic Information System (GIS) for environmental analysis. This latest edition has been written to reflect a global audience and covers the most recent advances incorporated since the publication of the previous book, relating to the acquisition and interpretation of remotely sensed data. New in the Third Edition: Includes additional illustrations in full color. Uses sample images acquired from different ecosystems at different spatial resolutions to illustrate different interpretation techniques. Includes updated EO missions, such as the third generations of geostationary meteorological satellites, the new polar orbiting platforms (Suomi), the ESA Sentinels program, and high-resolution commercial systems. Includes extended coverage of radar and LIDAR processing methods. Includes all new information on near-ground missions, including unmanned aerial vehicles (UAVs). Covers new ground sensors, as well as machine-learning approaches to classification. Adds more focus on land surface characterization, time series, change detection, and ecosystem processes. Extends the interactions of EO data and GIS that cover different environmental problems, with particular relevance to global observation. Fundamentals of Satellite Remote Sensing: An Environmental Approach, Third Edition, details the tools that provide global, recurrent, and comprehensive views of the processes affecting the Earth. As one of CRC’s Essential titles, this book and stands out as one of the best in its field and is a must-have for researchers, academics, students, and professionals involved in the field of environmental science, as well as for libraries developing collections on the forefront of this industry.

Multivariate Time Series Analysis in Climate and Environmental Research

Multivariate Time Series Analysis in Climate and Environmental Research
Author: Zhihua Zhang
Publsiher: Springer
Total Pages: 287
Release: 2017-11-09
Genre: Science
ISBN: 9783319673400

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This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.

Computational Science ICCS 2020

Computational Science     ICCS 2020
Author: Valeria V. Krzhizhanovskaya,Gábor Závodszky,Michael H. Lees,Jack J. Dongarra,Peter M. A. Sloot,Sérgio Brissos,João Teixeira
Publsiher: Springer Nature
Total Pages: 707
Release: 2020-06-18
Genre: Computers
ISBN: 9783030503710

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The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities

Artificial Cognitive Architecture with Self Learning and Self Optimization Capabilities
Author: Gerardo Beruvides
Publsiher: Springer
Total Pages: 195
Release: 2018-12-14
Genre: Technology & Engineering
ISBN: 9783030039493

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This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability and portability of this architecture are supported by two major levels: the cognitive level (core) and the executive level (direct data exchange with the process). At the same time, the architecture includes different operating modes that interact with the process to be monitored and/or controlled. The cognitive level includes three fundamental modes such as modeling, optimization and learning, which are necessary for decision-making (in the form of control signals) and for the real-time experimental characterization of complex processes. In the specific case of the micromachining processes, a series of models based on linear regression, nonlinear regression and artificial intelligence techniques were obtained. On the other hand, the executive level has a constant interaction with the process to be monitored and/or controlled. This level receives the configuration and parameterization from the cognitive level to perform the desired monitoring and control tasks.

Understanding Hydrological Extremes and their Impact in a Changing Climate Observations Modeling and Attribution

Understanding Hydrological Extremes and their Impact in a Changing Climate  Observations  Modeling and Attribution
Author: Xingcai Liu,Pedram Attarod,Zhe Li
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-03-12
Genre: Science
ISBN: 9782889665945

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Atmosphere Weather and Climate

Atmosphere  Weather and Climate
Author: Roger Barry,Richard Chorley,Roger G. Barry,The late Richard Chorley
Publsiher: Routledge
Total Pages: 472
Release: 2004-02-24
Genre: Science
ISBN: 9781134486540

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First Published in 2003. Routledge is an imprint of Taylor & Francis, an informa company.

Atmosphere Weather and Climate

Atmosphere   Weather and Climate
Author: Roger G. Barry,Richard J Chorley
Publsiher: Routledge
Total Pages: 536
Release: 2009-10-20
Genre: Science
ISBN: 9781135267490

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This book presents a comprehensive introduction to weather processes and climatic conditions around the world, their observed variability and changes, and projected future trends. Extensively revised and updated, this ninth edition retains its tried and tested structure while incorporating recent advances in the field. From clear explanations of the basic physical and chemical principles of the atmosphere, to descriptions of regional climates and their changes, the book presents a comprehensive coverage of global meteorology and climatology. In this new edition the latest scientific ideas are again expressed in a clear, non-mathematical matter. New features include: extended and updated treatment of atmospheric models final chapter on climate variability and change has been completely rewritten to take account of the IPCC 2007 scientific assessment. new four-colour text design featuring over 30 colour plates over 360 diagrams have been redrawn in full colour to improve clarity and aid understanding. Atmosphere, Weather and Climate continues to be an indispensable source for all those studying the earth’s atmosphere and world climate, whether from environmental and earth sciences, geography, ecology, agriculture, hydrology, or related disciplinary perspectives. Its pedagogic value is enhanced by several features: learning points at the opening of each chapter and discussion topics at their ending, boxes on topical subjects and on twentieth century advances in the field.

Mathematical Approach to Climate Change and its Impacts

Mathematical Approach to Climate Change and its Impacts
Author: Piermarco Cannarsa,Daniela Mansutti,Antonello Provenzale
Publsiher: Springer Nature
Total Pages: 237
Release: 2020-03-16
Genre: Science
ISBN: 9783030386696

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This book presents important recent applied mathematics research on environmental problems and impacts due to climate change. Although there are inherent difficulties in addressing phenomena that are part of such a complex system, exploration of the subject using mathematical modelling is especially suited to tackling poorly understood issues in the field. It is in this spirit that the book was conceived. It is an outcome of the International INDAM Workshop “Mathematical Approach to Climate Change Impacts – MAC2I”, held in Rome in March 2017. The workshop comprised four sessions, on Ecosystems, Hydrology, Glaciology, and Monitoring. The book includes peer-reviewed contributions on research issues discussed during each of these sessions or generated by collaborations among the specialists involved. Accurate parameter determination techniques are explained and innovative mathematical modelling approaches, presented. The book also provides useful material and mathematical problem-solving tools for doctoral programs dealing with the complexities of climate change.

Mathematics and Climate

Mathematics and Climate
Author: Hans Kaper,Hans Engler
Publsiher: SIAM
Total Pages: 297
Release: 2013-10-18
Genre: Science
ISBN: 9781611972603

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Mathematics and Climate is a timely textbook aimed at students and researchers in mathematics and statistics who are interested in current issues of climate science, as well as at climate scientists who wish to become familiar with qualitative and quantitative methods of mathematics and statistics. The authors emphasize conceptual models that capture important aspects of Earth's climate system and present the mathematical and statistical techniques that can be applied to their analysis. Topics from climate science include the Earth?s energy balance, temperature distribution, ocean circulation patterns such as El Ni?o?Southern Oscillation, ice caps and glaciation periods, the carbon cycle, and the biological pump. Among the mathematical and statistical techniques presented in the text are dynamical systems and bifurcation theory, Fourier analysis, conservation laws, regression analysis, and extreme value theory. The following features make Mathematics and Climate a valuable teaching resource: issues of current interest in climate science and sustainability are used to introduce the student to the methods of mathematics and statistics; the mathematical sophistication increases as the book progresses and topics can thus be selected according to interest and level of knowledge; each chapter ends with a set of exercises that reinforce or enhance the material presented in the chapter and stimulate critical thinking and communication skills; and the book contains an extensive list of references to the literature, a glossary of terms for the nontechnical reader, and a detailed index.

Global Climate Change

Global Climate Change
Author: USGPO Staff,United States,United States. Congress. Senate. Committee on Environment and Public Works,Usgpo
Publsiher: Unknown
Total Pages: 276
Release: 1998
Genre: Climatic changes
ISBN: UCAL:B5131476

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Fundamentals of Ocean Climate Models

Fundamentals of Ocean Climate Models
Author: Stephen Griffies
Publsiher: Princeton University Press
Total Pages: 135
Release: 2018-06-05
Genre: Science
ISBN: 9780691187129

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This book sets forth the physical, mathematical, and numerical foundations of computer models used to understand and predict the global ocean climate system. Aimed at students and researchers of ocean and climate science who seek to understand the physical content of ocean model equations and numerical methods for their solution, it is largely general in formulation and employs modern mathematical techniques. It also highlights certain areas of cutting-edge research. Stephen Griffies presents material that spans a broad spectrum of issues critical for modern ocean climate models. Topics are organized into parts consisting of related chapters, with each part largely self-contained. Early chapters focus on the basic equations arising from classical mechanics and thermodynamics used to rationalize ocean fluid dynamics. These equations are then cast into a form appropriate for numerical models of finite grid resolution. Basic discretization methods are described for commonly used classes of ocean climate models. The book proceeds to focus on the parameterization of phenomena occurring at scales unresolved by the ocean model, which represents a large part of modern oceanographic research. The final part provides a tutorial on the tensor methods that are used throughout the book, in a general and elegant fashion, to formulate the equations.