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| climate change data science: The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations Aboul Ella Hassanien, Ashraf Darwish, 2023-03-11 This book discusses the advances of artificial intelligence and data sciences in climate change and provides the power of the climate data that is used as inputs to artificial intelligence systems. It is a good resource for researchers and professionals who work in the field of data sciences, artificial intelligence, and climate change applications. |
| climate change data science: Evidence-Based Climate Science Don Easterbrook, 2011-08-25 Global warming and human-induced climate change are perhaps the most important scientific issues of our time. These issues continue to be debated in the scientific community and in the media without true consensus about the role of greenhouse gas emissions as a contributing factor. Evidence-Based Climate Science: Data opposing CO2 emissions as the primary source of global warming objectively gathers and analyzes scientific data concerning patterns of past climate changes, influences of changes in ocean temperatures, the effect of solar variation on global climate, and the effect of CO2 on global climate to clearly and objectively present counter-global-warming evidence not embraced by proponents of CO2. - An unbiased, evidence-based analysis of the scientific data concerning climate change and global warming - Authored by 8 of the world's leading climate scientists, each with more than 25 years of experience in the field - Extensive analysis of the physics of CO2 as a greenhouse gas and its role in global warming - Comprehensive citations, references, and bibliography - Adaptation strategies are presented as alternative reactions to greenhouse gas emission reductions |
| climate change data science: Data Science Applied to Sustainability Analysis Jennifer Dunn, Prasanna Balaprakash, 2021-05-11 Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis. As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions. In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas. - Presents data sources that are available for application in sustainability analyses, such as market information, environmental monitoring data, social media data and satellite imagery - Includes considerations sustainability analysts must evaluate when applying big data - Features case studies illustrating the application of data science in sustainability analyses |
| climate change data science: Statistical Methods for Climate Scientists Timothy DelSole, Michael Tippett, 2022-02-24 An accessible introduction to statistical methods for students in the climate sciences. |
| climate change data science: Big Data Mining for Climate Change Zhihua Zhang, Jianping Li, 2019-11-20 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. |
| climate change data science: Climate Change Science: A Modern Synthesis G. Thomas Farmer, John Cook, 2013-01-12 An introduction to the principles of climate change science with an emphasis on the empirical evidence for climate change and a warming world. Additional readings are given at the end of each chapter. A list of Things to Know opens each chapter. Chapters are arranged so that the student is first introduced to the scientific method(s), examples of the use of the scientific method from other sciences drawn from the history of science with an emphasis on climate science. Climate science is treated in each chapter based on the premise of global warming. Chapter treatments on the atmosphere. biosphere, geosphere, hydrosphere, and anthroposphere and their inter-relationships are given. |
| climate change data science: Machine Learning and Data Mining Approaches to Climate Science Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley, 2015-06-30 This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has become crucial because of the threat of climate change. There has been a veritable explosion in the amount of data produced by satellites, environmental sensors and climate models that monitor, measure and forecast the earth system. In order to meaningfully pursue knowledge discovery on the basis of such voluminous and diverse datasets, it is necessary to apply machine learning methods, and Climate Informatics lies at the intersection of machine learning and climate science. This book grew out of the fourth workshop on Climate Informatics held in Boulder, Colorado in Sep. 2014. |
| climate change data science: Climate Change The Royal Society, National Academy of Sciences, 2014-02-26 Climate Change: Evidence and Causes is a jointly produced publication of The US National Academy of Sciences and The Royal Society. Written by a UK-US team of leading climate scientists and reviewed by climate scientists and others, the publication is intended as a brief, readable reference document for decision makers, policy makers, educators, and other individuals seeking authoritative information on the some of the questions that continue to be asked. Climate Change makes clear what is well-established and where understanding is still developing. It echoes and builds upon the long history of climate-related work from both national academies, as well as on the newest climate-change assessment from the United Nations' Intergovernmental Panel on Climate Change. It touches on current areas of active debate and ongoing research, such as the link between ocean heat content and the rate of warming. |
| climate change data science: Statistical Analysis of Climate Extremes Manfred Mudelsee, 2020 The risks posed by climate change and its effect on climate extremes are an increasingly pressing societal problem. This book provides an accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. The statistical analysis methods are illustrated with case studies on extremes in the three major climate variables: temperature, precipitation, and wind speed. The book also provides datasets and access to appropriate analysis software, allowing the reader to replicate the case study calculations. Providing the necessary tools to analyse climate risk, this book is invaluable for students and researchers working in the climate sciences, as well as risk analysts interested in climate extremes. |
| climate change data science: Understanding Climate Change Sarah Burch, Sara E. Harris, 2021-06-01 Conversations about climate change are filled with challenges involving complex data, deeply held values, and political issues. Understanding Climate Change examines climate change as both a scientific and a public policy issue. Sarah L. Burch and Sara E. Harris explain the basics of the climate system, climate models and prediction, and human and biophysical impacts, as well as strategies for climate change adaptation and mitigation. The second edition has been fully updated throughout, including coverage of new advances in climate modelling and of the shifting landscape of renewable energy production and distribution. A brand new chapter discusses global governance, including the United Nations Framework Convention on Climate Change and the Paris Agreement, as well as mitigation efforts at the national and subnational levels. This new chapter makes the book even more relevant to climate change courses housed in social sciences departments such as political science and geography. An effective and integrated introduction to an urgent and controversial issue, this book is well-suited to adoption in a variety of introductory climate change courses found in a number of science and social science departments. Its ultimate goal is to equip readers with the tools needed to become constructive participants in the human response to climate change. |
| climate change data science: Statistical Analysis in Climate Research Hans von Storch, Francis W. Zwiers, 2002-02-21 Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography. |
| climate change data science: Global Warming Science Eli Tziperman, 2022-03-15 A quantitative, broad, hands-on introduction to the cutting-edge science of global warming This textbook introduces undergraduates to the concepts and methods of global warming science, covering topics that they encounter in the news, ranging from the greenhouse effect and warming to ocean acidification, hurricanes, extreme precipitation, droughts, heat waves, forest fires, the cryosphere, and more. This book explains each of the issues based on basic statistical analysis, simple ordinary differential equations, or elementary chemical reactions. Each chapter explains the mechanisms behind an observed or anticipated change in the climate system and demonstrates the tools used to understand and predict them. Proven in the classroom, Global Warming Science also includes “workshops” with every chapter, each based on a Jupyter Python notebook and an accompanying small data set, with supplementary online materials and slides for instructors. The workshop can be used as an interactive learning element in class and as a homework assignment. Provides a clear, broad, quantitative yet accessible approach to the science of global warming Engages students in the analysis of climate data and models, examining predictions, and dealing with uncertainty Features workshops with each chapter that enhance learning through hands-on engagement Comes with supplementary online slides, code, and data files Requires only elementary undergraduate-level calculus and basic statistics; no prior coursework in science is assumed Solutions manual available (only to instructors) |
| climate change data science: Climate Change Edmond A. Mathez, 2009-05-08 Climate Change is geared toward a variety of students and general readers who seek the real science behind global warming. Exquisitely illustrated, the text introduces the basic science underlying both the natural progress of climate change and the effect of human activity on the deteriorating health of our planet. Noted expert and author Edmond A. Mathez synthesizes the work of leading scholars in climatology and related fields, and he concludes with an extensive chapter on energy production, anchoring this volume in economic and technological realities and suggesting ways to reduce greenhouse-gas emissions. Climate Change opens with the climate system fundamentals: the workings of the atmosphere and ocean, their chemical interactions via the carbon cycle, and the scientific framework for understanding climate change. Mathez then brings the climate of the past to bear on our present predicament, highlighting the importance of paleoclimatology in understanding the current climate system. Subsequent chapters explore the changes already occurring around us and their implications for the future. In a special feature, Jason E. Smerdon, associate research scientist at Lamont-Doherty Earth Observatory of Columbia University, provides an innovative appendix for students. |
| climate change data science: Advancing the Science of Climate Change National Research Council, Division on Earth and Life Studies, Board on Atmospheric Sciences and Climate, America's Climate Choices: Panel on Advancing the Science of Climate Change, 2011-01-10 Climate change is occurring, is caused largely by human activities, and poses significant risks for-and in many cases is already affecting-a broad range of human and natural systems. The compelling case for these conclusions is provided in Advancing the Science of Climate Change, part of a congressionally requested suite of studies known as America's Climate Choices. While noting that there is always more to learn and that the scientific process is never closed, the book shows that hypotheses about climate change are supported by multiple lines of evidence and have stood firm in the face of serious debate and careful evaluation of alternative explanations. As decision makers respond to these risks, the nation's scientific enterprise can contribute through research that improves understanding of the causes and consequences of climate change and also is useful to decision makers at the local, regional, national, and international levels. The book identifies decisions being made in 12 sectors, ranging from agriculture to transportation, to identify decisions being made in response to climate change. Advancing the Science of Climate Change calls for a single federal entity or program to coordinate a national, multidisciplinary research effort aimed at improving both understanding and responses to climate change. Seven cross-cutting research themes are identified to support this scientific enterprise. In addition, leaders of federal climate research should redouble efforts to deploy a comprehensive climate observing system, improve climate models and other analytical tools, invest in human capital, and improve linkages between research and decisions by forming partnerships with action-oriented programs. |
| climate change data science: Climate Change Jason Smerdon, 2009-04-25 Climate Change is geared toward a variety of students and general readers who seek the real science behind global warming. Exquisitely illustrated, the text introduces the basic science underlying both the natural progress of climate change and the effect of human activity on the deteriorating health of our planet. Noted expert and author Edmond A. Mathez synthesizes the work of leading scholars in climatology and related fields, and he concludes with an extensive chapter on energy production, anchoring this volume in economic and technological realities and suggesting ways to reduce greenhouse-gas emissions. Climate Change opens with the climate system fundamentals: the workings of the atmosphere and ocean, their chemical interactions via the carbon cycle, and the scientific framework for understanding climate change. Mathez then brings the climate of the past to bear on our present predicament, highlighting the importance of paleoclimatology in understanding the current climate system. Subsequent chapters explore the changes already occurring around us and their implications for the future. In a special feature, Jason E. Smerdon, associate research scientist at Lamont-Doherty Earth Observatory of Columbia University, provides an innovative appendix for students. |
| climate change data science: Introduction to Climate Science Andreas Schmittner, 2024 |
| climate change data science: The Science and Politics of Global Climate Change Andrew E. Dessler, Edward A. Parson, 2006 An introduction to the climate-change debate for non-specialists. |
| climate change data science: Climate Change Science and Policy Stephen H. Schneider, 2009-12-14 This is the mcomprehensive and currreference resource on climate change available today. It features forty-nine individual chapters by some of the world’s leading climate scientists. Its five sections address climate change in five dimensions: ecological impacts, policy analysis, international considerations, United States considerations, and mitigation options to reduce carbon emissions. In many ways, this volume supersedes the Fourth AssessmReport of the Intergovernmental Panel on Climate Change (IPCC). Many important developments too recto be treated in the 2007 IPCC documents are covered here. Overall, Climate Change Science and Policy paints a direr picture of the effects of climate change than do the IPCC reports. It reveals that climate change has progressed faster than the IPCC reports anticipated and that the outlook for the future is bleaker than the IPCC reported. |
| climate change data science: Mathematical and Physical Fundamentals of Climate Change Zhihua Zhang, John C. Moore, 2014-12-06 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 |
| climate change data science: 2021 Fifth International Conference on I SMAC (IoT in Social, Mobile, Analytics and Cloud) (I SMAC) IEEE Staff, 2021-11-11 In this modern era of networking and communication technologies, both the things and people are connected with each other via internet However, the communication, data management and security are emerging as a common research consideration to maintain the communication interoperability and reliability In recent years, Internet of Things (IoT) is envisioned as a next big revolution in networks and communication by connecting the things to the internet via heterogeneous access networks that are enabled by various technologies such as wireless sensor networks, sensing & actuation, cyber physical systems, real time web services and so on With the huge number of objects things people connected to the internet, it becomes more important to collect the valuable information in an efficient way This demands for the new research innovations in the emerging communication and networking technologies |
| climate change data science: Data Journeys in the Sciences Sabina Leonelli, Niccolò Tempini, 2020-06-29 This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data across different spaces, times and domains of research practice; and documenting how such journeys affect the use of data as evidence and the knowledge being produced. The volume captures the opportunities, challenges and concerns involved in making data move from the sites in which they are originally produced to sites where they can be integrated with other data, analysed and re-used for a variety of purposes. The in-depth study of data journeys provides the necessary ground to examine disciplinary, geographical and historical differences and similarities in data management, processing and interpretation, thus identifying the key conditions of possibility for the widespread data sharing associated with Big and Open Data. The chapters are ordered in sections that broadly correspond to different stages of the journeys of data, from their generation to the legitimisation of their use for specific purposes. Additionally, the preface to the volume provides a variety of alternative “roadmaps” aimed to serve the different interests and entry points of readers; and the introduction provides a substantive overview of what data journeys can teach about the methods and epistemology of research. |
| climate change data science: How to Avoid a Climate Disaster Bill Gates, 2021-02-16 NEW YORK TIMES BESTSELLER NATIONAL BESTSELLER In this urgent, singularly authoritative book, Bill Gates sets out a wide-ranging, practical--and accessible--plan for how the world can get to zero greenhouse gas emissions in time to avoid an irreversible climate catastrophe. Bill Gates has spent a decade investigating the causes and effects of climate change. With the help and guidance of experts in the fields of physics, chemistry, biology, engineering, political science and finance, he has focused on exactly what must be done in order to stop the planet's slide toward certain environmental disaster. In this book, he not only gathers together all the information we need to fully grasp how important it is that we work toward net-zero emissions of greenhouse gases but also details exactly what we need to do to achieve this profoundly important goal. He gives us a clear-eyed description of the challenges we face. He describes the areas in which technology is already helping to reduce emissions; where and how the current technology can be made to function more effectively; where breakthrough technologies are needed, and who is working on these essential innovations. Finally, he lays out a concrete plan for achieving the goal of zero emissions--suggesting not only policies that governments should adopt, but what we as individuals can do to keep our government, our employers and ourselves accountable in this crucial enterprise. As Bill Gates makes clear, achieving zero emissions will not be simple or easy to do, but by following the guidelines he sets out here, it is a goal firmly within our reach. |
| climate change data science: Big Data, Artificial Intelligence, and Data Analytics in Climate Change Research Gaurav Tripathi, Achala Shakya, Shruti Kanga, Suraj Kumar Singh, Praveen Kumar Rai, 2024-06-08 This book explores the potential of big data, artificial intelligence (AI), and data analytics to address climate change and achieve the Sustainable Development Goals (SDGs). Furthermore, the book covers a wide range of related topics, including climate change data sources, big data analytics techniques, remote sensing, renewable energy, open data, public–private partnerships, ethical and legal issues, and case studies of successful applications. The book also discusses the challenges and opportunities presented by these technologies and provides insights into future research directions. In order to address climate change and achieve the SDGs, it is crucial to understand the complex interplay between climate and environmental factors. The use of big data, AI, and data analytics can play a vital role in this effort by providing the means to collect, process, and analyze vast amounts of environmental data. This book is an essential resource for researchers, policymakers, and practitioners interested in leveraging these technologies to tackle the pressing challenge of climate change and achieve the SDGs. |
| climate change data science: The Inquisition of Climate Science James Lawrence Powell, 2011-08-30 Modern science is under the greatest and most successful attack in recent history. An industry of denial, abetted by news media and info-tainment broadcasters more interested in selling controversy than presenting facts, has duped half the American public into rejecting the facts of climate science—an overwhelming body of rigorously vetted scientific evidence showing that human-caused, carbon-based emissions are linked to warming the Earth. The industry of climate science denial is succeeding: public acceptance has declined even as the scientific evidence for global warming has increased. It is vital that the public understand how anti-science ideologues, pseudo-scientists, and non-scientists have bamboozled them. We cannot afford to get global warming wrong—yet we are, thanks to deniers and their methods. The Inquisition of Climate Science is the first book to comprehensively take on the climate science denial movement and the deniers themselves, exposing their lack of credentials, their extensive industry funding, and their failure to provide any alternative theory to explain the observed evidence of warming. In this book, readers meet the most prominent deniers while dissecting their credentials, arguments, and lack of objectivity. James Lawrence Powell shows that the deniers use a wide variety of deceptive rhetorical techniques, many stretching back to ancient Greece. Carefully researched, fully referenced, and compellingly written, his book clearly reveals that the evidence of global warming is real and that an industry of denial has deceived the American public, putting them and their grandchildren at risk. |
| climate change data science: Unsettled (Updated and Expanded Edition) Steven E. Koonin, 2024-06-11 In this updated and expanded edition of climate scientist Steven Koonin’s groundbreaking book, go behind the headlines to discover the latest eye-opening data about climate change—with unbiased facts and realistic steps for the future. Greenland’s ice loss is accelerating. Extreme temperatures are causing more fatalities. Rapid 'climate action' is essential to avoid a future climate disaster. You've heard all this presented as fact. But according to science, all of these statements are profoundly misleading. With the new edition of Unsettled, Steven Koonin draws on decades of experience—including as a top science advisor to the Obama administration—to clear away the fog and explain what science really says (and doesn't say). With a new introduction, this edition now features reflections on an additional three years of eye-opening data, alternatives to unrealistic “net zero” solutions, global energy inequalities, and the energy crisis arising from the war in Ukraine. When it comes to climate change, the media, politicians, and other prominent voices have declared that “the science is settled.” In reality, the climate is changing, but the why and how aren’t as clear as you’ve probably been led to believe. Koonin takes readers behind the headlines, dispels popular myths, and unveils little-known truths: Despite rising greenhouse gas emissions, global temperatures decreased from 1940 to 1970 Models currently used to predict the future do not accurately describe the climate of the past, and modelers themselves strongly doubt their regional predictions There is no compelling evidence that hurricanes are becoming more frequent—or that predictions of rapid sea level rise have any validity Unsettled is a reality check buoyed by hope, offering the truth about climate science—what we know, what we don’t, and what it all means for our future. |
| climate change data science: Climate Changed Philippe Squarzoni, 2014-04-08 What are the causes and consequences of climate change? When the scale is so big, can an individual make any difference? Documentary, diary, and masterwork graphic novel, this up-to-date look at our planet and how we live on it explains what global warming is all about. With the most complicated concepts made clear in a feat of investigative journalism by artist Philippe Squarzoni, Climate Changed weaves together scientific research, extensive interviews with experts, and a call for action. Weighing the potential of some solutions and the false promises of others, this groundbreaking work provides a realistic, balanced view of the magnitude of the crisis that An Inconvenient Truth only touched on. Climate Changed is printed on FSC-certified paper from responsibly-managed, environmentally-sound sources. Find teaching guides for Climate Changed and other titles at abramsbooks.com/resources. |
| climate change data science: Drawdown Paul Hawken, 2017-04-18 • New York Times bestseller • The 100 most substantive solutions to reverse global warming, based on meticulous research by leading scientists and policymakers around the world “At this point in time, the Drawdown book is exactly what is needed; a credible, conservative solution-by-solution narrative that we can do it. Reading it is an effective inoculation against the widespread perception of doom that humanity cannot and will not solve the climate crisis. Reported by-effects include increased determination and a sense of grounded hope.” —Per Espen Stoknes, Author, What We Think About When We Try Not To Think About Global Warming “There’s been no real way for ordinary people to get an understanding of what they can do and what impact it can have. There remains no single, comprehensive, reliable compendium of carbon-reduction solutions across sectors. At least until now. . . . The public is hungry for this kind of practical wisdom.” —David Roberts, Vox “This is the ideal environmental sciences textbook—only it is too interesting and inspiring to be called a textbook.” —Peter Kareiva, Director of the Institute of the Environment and Sustainability, UCLA In the face of widespread fear and apathy, an international coalition of researchers, professionals, and scientists have come together to offer a set of realistic and bold solutions to climate change. One hundred techniques and practices are described here—some are well known; some you may have never heard of. They range from clean energy to educating girls in lower-income countries to land use practices that pull carbon out of the air. The solutions exist, are economically viable, and communities throughout the world are currently enacting them with skill and determination. If deployed collectively on a global scale over the next thirty years, they represent a credible path forward, not just to slow the earth’s warming but to reach drawdown, that point in time when greenhouse gases in the atmosphere peak and begin to decline. These measures promise cascading benefits to human health, security, prosperity, and well-being—giving us every reason to see this planetary crisis as an opportunity to create a just and livable world. |
| climate change data science: The Rise of Climate Science Gerald R. North, 2020-10-21 In a career spanning four decades, Gerald R. North contributed groundbreaking research that continues to shape the modern field of climate science. However, the route he has taken was full of surprising twists and turns that included hate mail, eavesdropping by the KGB, and sometimes acrimonious debate with climate-change deniers. North’s significant contributions to the field include his innovative “toy model” analysis of climate change based on ingeniously simplified models and his lead proposal for and successful approval of the Tropical Rainfall Measuring Mission (TRMM) satellite. Launched in 1997, the TRMM’s purpose was to collect data on the global climate system. The TRMM operated successfully for 17 years before it was deactivated in 2015. In The Rise of Climate Science, North recounts in detail his life in the vanguard of modern climate science. He offers an insider look at the academic research and government initiatives around global warming and what that means for the planet. He includes stories of conversations with top Soviet climate scientists at the height of the Cold War in the late 1970s—complete with clandestine electronic surveillance. He also describes the experience of testifying before Congress and engaging in public exchanges with those who doubted the reality of the phenomenon his research field described. Climatology today has advanced into a mature phase. This book is an important contribution to understanding its development in the twentieth century and adds a distinctly human face and sensibility to the ongoing societal conversation around climate change and its implications for our future. |
| climate change data science: Climate Change Chip Fletcher, 2018-10-30 This book introduces climate change fundamentals and essential concepts that reveal the extent of the damage, the impacts felt around the globe, and the innovation and leadership it will take to bring an end to the status quo. Emphasizing peer-reviewed literature, this text details the impact of climate change on land and sea, the water cycle, human communities, the weather, and humanity’s collective future. Coverage of greenhouse gases, oceanic and atmospheric processes, Pleistocene and Holocene paleoclimate, sea levels, and other fundamental topics provide a deep understanding of key mechanisms, while discussion of extreme weather, economic impacts, and resource scarcity reveals how climate change is already impacting people’s lives—and will continue to do so at an increasing rate for the foreseeable future. |
| climate change data science: Climate Change and Extreme Events Ali Fares, 2021-03-02 Climate Change and Extreme Events uses a multidisciplinary approach to discuss the relationship between climate change-related weather extremes and their impact on human lives. Topics discussed are grouped into four major sections: weather parameters, hydrological responses, mitigation and adaptation, and governance and policies, with each addressed with regard to past, present and future perspectives. Sections give an overview of weather parameters and hydrological responses, presenting current knowledge and a future outlook on air and stream temperatures, precipitation, storms and hurricanes, flooding, and ecosystem responses to these extremes. Other sections cover extreme weather events and discuss the role of the state in policymaking. This book provides a valuable interdisciplinary resource to climate scientists and meteorologists, environmental researchers, and social scientists interested in extreme weather. - Provides an integrated interdisciplinary approach to how climate change impacts the hydrological system - Addresses significant knowledge gaps in our understanding of climate change and extreme events - Discusses the societal impacts of climate change-related weather extremes, including multilevel governance and adaptation policy |
| climate change data science: Evaluating Climate Change Impacts Vyacheslav Lyubchich, Yulia Gel, K. Halimeda Kilbourne, Thomas James Miller, Nathaniel K. Newlands, Adam B. Smith, 2020-10-06 Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The reader will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods. |
| climate change data science: A Climate for Change Katharine Hayhoe, Andrew Farley, 2009-10-29 Most Christian lifestyle or environmental books focus on how to live in a sustainable and conservational manner. A CLIMATE FOR CHANGE shows why Christians should be living that way, and the consequences of doing so. Drawing on the two authors' experiences, one as an internationally recognized climate scientist and the other as an evangelical leader of a growing church, this book explains the science underlying global warming, the impact that human activities have on it, and how our Christian faith should play a significant role in guiding our opinions and actions on this important issue. |
| climate change data science: Climate Change Gavin Schmidt, Joshua Wolfe, 2009-03-24 An unprecedented union of scientific analysis and stunning photography illustrating the effects of climate change on the global ecosystem. Going beyond the headlines, this work by leading NASA climate scientist Gavin Schmidt and master photographer Joshua Wolfe illustrates as never before the ramifications of shifting climate. Photographic spreads show retreating glaciers, sinking villages in Alaska’s tundra, and drying lakes. The text follows adventurous scientists through the ice caps at the poles to the coral reefs of the tropical seas. Marshaling data spanning centuries and continents, the book sparkles with cutting-edge research and visual records, including contributions from experts on atmospheric science, oceanography, paleoclimatology, technology, politics, and the polar regions. As Jeffrey D. Sachs writes in his powerful foreword, “Climate Change is a tour de force of public education.” |
| climate change data science: Global Climate Change and Human Health Jay Lemery, Kim Knowlton, Cecilia Sorensen, 2021-05-11 Learn more about the impact of global warming and climate change on human health and disease The Second Edition of Global Climate Change and Human Health delivers an accessible and comprehensive exploration of the rapidly accelerating and increasingly ubiquitous effects of climate change and global warming on human health and disease. The distinguished and accomplished authors discuss the health impacts of the economic, climatological, and geopolitical effects of global warming. You'll learn about: The effect of extreme weather events on public health and the effects of changing meteorological conditions on human health How changes in hydrology impact the spread of waterborne disease and noninfectious waterborne threats Adaptation to, and the mitigation and governance of, climate change, including international perspectives on climate change adaptation Perfect for students of public health, medicine, nursing, and pharmacy, Global Climate Change and Human Health, Second Edition is an invaluable resource for anyone with an interest in the intersection of climate and human health and disease. |
| climate change data science: Lukewarming Patrick J. Michaels, Paul C. Knappenberger, 2016-09-13 In Lukewarming, two environmental scientists explain the science and spin behind the headlines and come to a provocative conclusion: climate change is real, and partially man-made, but it is becoming obvious that far more warming has been forecast than will occur, with some of the catastrophic impacts implausible or impossible. Global warming is more lukewarm than hot. This fresh analysis is an invaluable source for those looking to be more informed about global warming and the data behind it. |
| climate change data science: Geospatial Technologies and Climate Change Janardhanan Sundaresan, K M Santosh, Andrea Déri, Rob Roggema, Ramesh Singh, 2013-12-13 Geospatial Technologies and Climate Change describes various approaches from different countries on how to use geospatial technologies to help solving climate change issues. It also details how different geospatial technologies (remote sensing, Geographical Information System...) can be used to help with climate monitoring and modeling, how to work with them and what to be careful about. This book is written by scientific experts from four different continents. Written in a comprehensive and complete way, this book is essential reading material for graduate and undergraduate students interested in these techniques and in climate change. |
| climate change data science: The Whole Story of Climate E. Kirsten Peters, 2012 An engaging narrative that describes the important contributions of geology to our understanding of climate change. What emerges is a much more complex and nuanced picture than is usually presented. |
| climate change data science: Programming with C++20 Andreas Fertig, 2021-11-26 Programming with C++20 teaches programmers with C++ experience the new features of C++20 and how to apply them. It does so by assuming C++11 knowledge. Elements of the standards between C++11 and C++20 will be briefly introduced, if necessary. However, the focus is on teaching the features of C++20. You will start with learning about the so-called big four Concepts, Coroutines, std::ranges, and modules. The big four a followed by smaller yet not less important features. You will learn about std::format, the new way to format a string in C++. In chapter 6, you will learn about a new operator, the so-called spaceship operator, which makes you write less code. You then will look at various improvements of the language, ensuring more consistency and reducing surprises. You will learn how lambdas improved in C++20 and what new elements you can now pass as non-type template parameters. Your next stop is the improvements to the STL. Of course, you will not end this book without learning about what happened in the constexpr-world. |
| climate change data science: Climate Change Science National Research Council, Division on Earth and Life Studies, Committee on the Science of Climate Change, 2001-06-28 The warming of the Earth has been the subject of intense debate and concern for many scientists, policy-makers, and citizens for at least the past decade. Climate Change Science: An Analysis of Some Key Questions, a new report by a committee of the National Research Council, characterizes the global warming trend over the last 100 years, and examines what may be in store for the 21st century and the extent to which warming may be attributable to human activity. |
| climate change data science: Review of the Draft Fourth National Climate Assessment National Academies of Sciences, Engineering, and Medicine, Division of Behavioral and Social Sciences and Education, Division on Earth and Life Studies, Board on Environmental Change and Society, Board on Atmospheric Sciences and Climate, Committee to Review the Draft Fourth National Climate Assessment, 2018-06-18 Climate change poses many challenges that affect society and the natural world. With these challenges, however, come opportunities to respond. By taking steps to adapt to and mitigate climate change, the risks to society and the impacts of continued climate change can be lessened. The National Climate Assessment, coordinated by the U.S. Global Change Research Program, is a mandated report intended to inform response decisions. Required to be developed every four years, these reports provide the most comprehensive and up-to-date evaluation of climate change impacts available for the United States, making them a unique and important climate change document. The draft Fourth National Climate Assessment (NCA4) report reviewed here addresses a wide range of topics of high importance to the United States and society more broadly, extending from human health and community well-being, to the built environment, to businesses and economies, to ecosystems and natural resources. This report evaluates the draft NCA4 to determine if it meets the requirements of the federal mandate, whether it provides accurate information grounded in the scientific literature, and whether it effectively communicates climate science, impacts, and responses for general audiences including the public, decision makers, and other stakeholders. |
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