Mathematical And Physical Fundamentals Of Climate Change
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Mathematical And Physical Fundamentals Of Climate Change
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Author : Zhihua Zhang
language : en
Publisher: Elsevier
Release Date : 2014-12-06
Mathematical And Physical Fundamentals Of Climate Change written by Zhihua Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-06 with Science categories.
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
Patterns And Mechanisms Of Climate Paleoclimate And Paleoenvironmental Changes From Low Latitude Regions
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Author : Zhihua Zhang
language : en
Publisher: Springer
Release Date : 2019-01-17
Patterns And Mechanisms Of Climate Paleoclimate And Paleoenvironmental Changes From Low Latitude Regions written by Zhihua Zhang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-17 with Science categories.
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
Big Data Mining For Climate Change
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Author : Zhihua Zhang
language : en
Publisher: Elsevier
Release Date : 2019-11-20
Big Data Mining For Climate Change written by Zhihua Zhang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Science categories.
Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation's big data climate challenge, some of which are recommended widely as new approaches for climate change research. Big Data Mining for Climate Change delivers a rich understanding of climate-related big data techniques and highlights how to navigate huge amount of climate data and resources available using big data applications. It guides future directions and will boom big-data-driven researches on modeling, diagnosing and predicting climate change and mitigating related impacts. This book mainly focuses on climate network models, deep learning techniques for climate dynamics, automated feature extraction of climate variability, and sparsification of big climate data. It also includes a revelatory exploration of big-data-driven low-carbon economy and management. Its content provides cutting-edge knowledge for scientists and advanced students studying climate change from various disciplines, including atmospheric, oceanic and environmental sciences; geography, ecology, energy, economics, management, 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
Mathematics And Climate
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Author : Hans Kaper
language : en
Publisher: SIAM
Release Date : 2013-10-18
Mathematics And Climate written by Hans Kaper and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-18 with Science categories.
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.
Proceedings Of The International Conference On Machine Learning Deep Learning And Computational Intelligence For Wireless Communication
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Author : E. S. Gopi
language : en
Publisher: Springer Nature
Release Date : 2024-04-15
Proceedings Of The International Conference On Machine Learning Deep Learning And Computational Intelligence For Wireless Communication written by E. S. Gopi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-15 with Computers categories.
This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held during June 22-24th, 2023, at the National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine learning, Deep learning and Computational intelligence algorithms (b) Wireless communication systems and (c) Mobile data applications. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.
Geodetic Sciences
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Author : Bihter Erol
language : en
Publisher: BoD – Books on Demand
Release Date : 2021-06-30
Geodetic Sciences written by Bihter Erol and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-30 with Science categories.
Advances in space-borne technologies lead to improvements in observations and have a notable impact on geodesy and its applications. As a consequence of these improvements in data accuracies, spatial and temporal resolutions, as well as the developments in the methodologies, more detailed analyses of the Earth and a deeper understanding of its state and dynamic processes are possible today. From this perspective, this book is a collection of the selected reviews and case-study articles that report the advances in methodology and applications in geodesy. The chapters in the book are mainly dedicated to the Earth’s gravity field theory and applications, sea level monitoring and analysis, navigation satellite systems data and applications, and monitoring networks for tectonic deformations. This collection is a current state analysis of the geodetic research in theory and applications in today’s modern world.
Mathematical Approach To Climate Change And Its Impacts
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Author : Piermarco Cannarsa
language : en
Publisher: Springer Nature
Release Date : 2020-03-16
Mathematical Approach To Climate Change And Its Impacts written by Piermarco Cannarsa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-16 with Science categories.
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.
Integrated Drought Management Volume 2
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Author : Vijay P. Singh
language : en
Publisher: CRC Press
Release Date : 2023-09-12
Integrated Drought Management Volume 2 written by Vijay P. Singh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-12 with Science categories.
The second volume of this comprehensive global perspective on Integrated Drought Management is focused on drought modeling, meteorological prediction, and the use of remote sensing in assessing, analyzing, and monitoring drought. It discusses risk management, planning, policy, and societal impacts of drought such as water pricing, water transfer, water quality, and crop insurance. Through numerous case studies from India, Iran, Brazil, the US, Nepal, and other countries that cover a broad range of topics and geographical regions, this volume serves as a valuable resource for all professionals, researchers, and academics who want to advance their knowledge about droughts. Features Provides a global perspective on drought prediction and management and a synthesis of the recent state of knowledge. Covers a wide range of topics from essential concepts and advanced techniques for forecasting and modeling drought to societal impacts, consequences, and planning Presents numerous case studies with different management approaches from different regions and countries. Addresses how climate change impacts drought, the increasing challenges associated with managing drought, decision-making, and policy implications. Includes contributions from hundreds of experts from around the world. Professionals, researchers, academics, and postgraduate students with knowledge in environmental sciences, ecology, agriculture, forestry, hydrology, water resources engineering, and earth sciences, as well as those interested in how climate change impacts drought management, will gain new insights from the experts featured in this two-volume handbook.
Climate Analysis
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Author : Chester F. Ropelewski
language : en
Publisher: Cambridge University Press
Release Date : 2019-01-17
Climate Analysis written by Chester F. Ropelewski and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-17 with Nature categories.
Explains how climatologists have come to understand current climate variability and trends through analysis of observations, datasets and models.
Artificial Cognitive Architecture With Self Learning And Self Optimization Capabilities
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Author : Gerardo Beruvides
language : en
Publisher: Springer
Release Date : 2018-12-14
Artificial Cognitive Architecture With Self Learning And Self Optimization Capabilities written by Gerardo Beruvides and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-14 with Technology & Engineering categories.
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.