Advertisement
| data science in climate change: 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. |
| data science in climate change: 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 |
| data science in climate change: 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. |
| data science in climate change: 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 |
| data science in climate change: Statistical Methods for Climate Scientists Timothy DelSole, Michael Tippett, 2022-02-24 An accessible introduction to statistical methods for students in the climate sciences. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: Introduction to Climate Science Andreas Schmittner, 2024 |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: Climate Change The Royal Society, The National Academy of Sciences, 2020-03-26 Climate change is one of the defining issues of our time. It is now more certain than ever, based on many lines of evidence, that humans are changing Earth's climate. The Royal Society and the US National Academy of Sciences, with their similar missions to promote the use of science to benefit society and to inform critical policy debates, produced the original Climate Change: Evidence and Causes in 2014. It was written and reviewed by a UK-US team of leading climate scientists. This new edition, prepared by the same author team, has been updated with the most recent climate data and scientific analyses, all of which reinforce our understanding of human-caused climate change. Scientific information is a vital component for society to make informed decisions about how to reduce the magnitude of climate change and how to adapt to its impacts. This booklet serves as a key reference document for decision makers, policy makers, educators, and others seeking authoritative answers about the current state of climate-change science. |
| data science in climate change: 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. |
| data science in climate change: 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.” |
| data science in climate change: 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 |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: Abrupt Climate Change National Research Council, Division on Earth and Life Studies, Board on Atmospheric Sciences and Climate, Polar Research Board, Ocean Studies Board, Committee on Abrupt Climate Change, 2002-04-23 The climate record for the past 100,000 years clearly indicates that the climate system has undergone periodic-and often extreme-shifts, sometimes in as little as a decade or less. The causes of abrupt climate changes have not been clearly established, but the triggering of events is likely to be the result of multiple natural processes. Abrupt climate changes of the magnitude seen in the past would have far-reaching implications for human society and ecosystems, including major impacts on energy consumption and water supply demands. Could such a change happen again? Are human activities exacerbating the likelihood of abrupt climate change? What are the potential societal consequences of such a change? Abrupt Climate Change: Inevitable Surprises looks at the current scientific evidence and theoretical understanding to describe what is currently known about abrupt climate change, including patterns and magnitudes, mechanisms, and probability of occurrence. It identifies critical knowledge gaps concerning the potential for future abrupt changes, including those aspects of change most important to society and economies, and outlines a research strategy to close those gaps. Based on the best and most current research available, this book surveys the history of climate change and makes a series of specific recommendations for the future. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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) |
| data science in climate change: Encyclopedia of Data Science and Machine Learning Wang, John, 2023-01-20 Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians. |
| data science in climate change: Don't Even Think About It George Marshall, 2015-08-18 The director of the Climate Outreach and Information Network explores the psychological mechanism that enables people to ignore the dangers of climate change, using sidebars, cartoons and engaging stories from his years of research to reveal how humans are wired to primarily respond to visible threats. |
| data science in climate change: Introduction to Environmental Data Science William W. Hsieh, 2023-03-31 A comprehensive guide to machine learning and statistics for students and researchers of environmental data science. |
| data science in climate change: 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. |
| data science in climate change: Patterns Identification and Data Mining in Weather and Climate Abdelwaheb Hannachi, 2021-05-06 Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K. |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: 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 |
| data science in climate change: 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. |
| data science in climate change: The Science and Impact of Climate Change Asheem Srivastav, 2018-12-13 This volume provides a holistic and concise overview of the complex science of climate change involving the interplay of multiple factors. It also acts as a primer and a one-source reference to all the aspects of climate change, allowing researchers to understand the complexity of this science and to see the larger picture, thereby aiming towards holistic solutions. Beginning in the second half of the twentieth century, the impacts of climate change have been the worst nightmare to hit humanity so fiercely, causing loss of human life and irreparable destruction to natural and man-made infrastructure in many parts of the world. The difference between climate change now and in the past is that of sudden and disproportionate disruption of the natural energy dynamics by the changing consumption patterns of billions of human beings who, in their quest for economic superiority, have polluted the terrestrial and aquatic ecosystems. The picture that emerges from the exhaustive analysis of international data drawn from the most reliable sources indicates that we have possibly gained access to the gateway of extinction and it is time that we take corrective steps immediately. The book’s chapters not only provide an overview of climate change science but also include detailed discussion on current research. This unique analytical text is suitable for conservation environmentalists, researchers, and academicians working in the field, along with policy makers, research and training institutes, and nongovernment organizations. |
| data science in climate change: Computational Intelligent Data Analysis for Sustainable Development Ting Yu, Nitesh Chawla, Simeon Simoff, 2016-04-19 Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms that solve increasingly complex data problems in changing environments, including economic, environmental, and social data. Computational Intelligent Data Analysis for Sustainable Development present |
| data science in climate change: 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. |
| data science in climate change: 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. |
| data science in climate change: False Alarm Bjorn Lomborg, 2020-07-14 An “essential” (Times UK) and “meticulously researched” (Forbes) book by “the skeptical environmentalist” argues that panic over climate change is causing more harm than good Hurricanes batter our coasts. Wildfires rage across the American West. Glaciers collapse in the Artic. Politicians, activists, and the media espouse a common message: climate change is destroying the planet, and we must take drastic action immediately to stop it. Children panic about their future, and adults wonder if it is even ethical to bring new life into the world. Enough, argues bestselling author Bjorn Lomborg. Climate change is real, but it's not the apocalyptic threat that we've been told it is. Projections of Earth's imminent demise are based on bad science and even worse economics. In panic, world leaders have committed to wildly expensive but largely ineffective policies that hamper growth and crowd out more pressing investments in human capital, from immunization to education. False Alarm will convince you that everything you think about climate change is wrong -- and points the way toward making the world a vastly better, if slightly warmer, place for us all. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Spatio-Temporal Data Mining for Climate Data: Advances, …
climate data as well as the types of research questions climate science attempts to address. Although the size of climate data is a serious challenge, there are major research efforts to …
Abdulamid A. Fakoya
research is at the nexus of atmospheric science, data science, climate change, and environmental justice. Equipped with a strong Physics background and proficiency in various software tools …
Indicators of Global Climate Change 2022: annual update of …
Intergovernmental Panel on Climate Change (IPCC) assessments are the trusted source of scientific evidence for climate negotiations taking place under the United Nations Framework …
The Copernicus Climate Change Service - JSTOR
The Climate Data Store The aim of the Climate Data Store (https://cds.climate.copernicus.eu/; Fig. 1) is to vastly improve access to high-quality climate data for a wide range of users with …
Harnessing the Power of AI for Climate Change Impact …
Climate change impact assessment is critical for creating adequate climate change mitigation and adaptation policies and plans. Communicating the results of these impact assessments is …
Tracking Climate Change Opinions from Twitter Data - SCU
Climate Change Related Twitter with Re-Tweet. The intention of this extraction is to try to explore the percentage of climate change related tweets per day. There are a total of 494;097 tweets …
Postdoctoral Research Fellowships in Climate Data Science
The ACDI is a university-wide initiative at UCT that supports collaborative research and training in climate change and development. Postdoctoral Research Fellowships in Climate Data Science …
The Scientific Consensus on Climate Change: How Do We …
report, Climate Change Science: An Analysis of Some Key Questions (2001), which originated from a White House re-quest. Here is how it opens: ‘‘Greenhouse gases are accumulat- ...
North Carolina Climate Science Report - NC.gov
The North Carolina Climate Science Report (NCCSR), led by the North Carolina Institute for Climate Studies, draws from climate science expertise across the state, as well as from peer …
Using Machine Learning for Climate Related Impact Evaluations
of climate change, this insight is invaluable. Again, countries which are disproportionately affected by climate change are o#en the world’s most data-poor as well. ML algorithms can expand the …
Innovative methods for observing and changing complex …
@GuillChevance • Interdisciplinary researcher : behavioural medicine - digital health and data science - climate change • Former UCSD postdoc control system engineering with Eric Hekler …
Climate Models and Their Evaluation - IPCC
climate change. Con fi dence in model estimates of future climate evolution has been enhanced via a range of advances since the IPCC Third Assessment Report (TAR). Climate models are …
BECOMING - research.ucdenver.edu
artificial intelligence and data science, climate change (disaster preparedness, drought, environmental justice, resilience, and wildfire), cybersecurity, health (bioengineering, ... of Civil …
2024 NSF ITEST PI Meeting - stelar.edc.org
thinking, cybersecurity, data science, environmental science, semiconductors and microelectronics, climate change, and clean energy. •ITEST funds proposals situated in both …
GEOGRAPHIC INFORMATION SYSTEMS IN WEATHER, …
meteorological data, climate variability, change assess-ment, and modeling among other applications. GIS can provide a standardized platform for atmospheric analysis—a common …
Quantum Artificial Intelligence for the Science of Climate …
the key breakthroughs necessary to furthering the science of climate change. The resultant improvements in weather and climate forecasts are expected to cascade to numerous societal …
Understanding and Attributing Climate Change - IPCC
standing and Attributing Climate Change. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental …
University of Toronto-University of Illinois System Joint Call for ...
Data Science: collecting, manipulating, storing, visualizing, learning from, and extracting useful information from data in a reproducible, fair and ethical way. 3. Climate Change and …
Data-driven change management using Transformation …
The new frontier in change management is using data and behavioral science —a paradigm shift from “attitudinal” approaches to behavioral ones. Data-driven change management heals this …
Observed and Projected Climate Change in New York State …
where available, for each climate hazard. Where applicable, examples of the use of these sources are also provided. This document is intended to provide an introduction and ready reference to …
AP ENVIRONMENTAL SCIENCE Scoring Guidelines
Explain how increasing amounts of greenhouse gases in the atmosphere are linked to a change in pH of the ocean. (c) Greenhouse gases can pose threats to both human health and the …
Carbon Dioxide and Global Warming Case Study
facts, and data needed to analyze the problem and to consider the possible consequences and solutions. The purpose of this case study is to help you connect what you already know about …
Audubon’s Birds and Climate Change Report
Birds and Climate Change | National Audubon Society | Conservation Science | September 2014 3 The National Audubon Society has completed a continental analysis of how North America’s …
CLIMATE CHANGE Past climates inform our future - Science
Nov 6, 2020 · CLIMATE CHANGE Past climates inform our future Jessica E.Tierney*, Christopher J. Poulsen, Isabel P. Montañez,Tripti Bhattacharya, Ran Feng, ... “language barrier” between …
TREE RINGS: LIVING RECORDS OF CLIMATE - US EPA
Climate change: A significant change in the Earth’s climate. The Earth is currently getting warmer because people are adding heat-trapping greenhouse gases to the atmosphere. The term …
Communicating climate change: A practitioner’s guide
%PDF-1.7 %âãÏÓ 933 0 obj > endobj xref 933 32 0000000016 00000 n 0000004183 00000 n 0000004335 00000 n 0000004371 00000 n 0000004884 00000 n 0000004998 00000 n …
A thesis submitted to the Department of Environmental …
financial and technical support to overcome future climate change impacts. While important, traditional and local knowledge alone cannot make it more resilient and less vulnerable to …
Victoria’s Climate Science Report 2019 - Climate Change
5.0 Using climate science to support decision making 38 5.1 Climate change and water resource management 39 5.2 Climate change and fire management 39 5.3 Climate change and snow …
Government of India Ministry of Environment, Forest
Doctorate in Environmental Science (Climate Change and Atmospheric Data Science specialization) Duties (Forand Job Requirements posts No. 01 to 15) Policy planning and …
Learning Activity: CLIMATE CHANGE AND BIODIVERSITY
CLIMATE CHANGE AND BIODIVERSITY | page 2 of 13 Standards Next Generation Science Standards • MS-LS2-1: Ecosystems: Interactions, Energy, and Dynamics. Analyze and …
Climate Informatics: Accelerating Discovering in Climate …
Discovering in Climate Science with Machine Learning The goal of climate informatics, an emerging discipline, is to inspire collaboration between climate scientists and data scientists, …
POLLINATOR DECLINE Climate change contributes to …
Climate change contributes to widespread declines among bumble bees across continents Peter Soroye 1*,Tim Newbold2, Jeremy Kerr Climate change could increase species’ extinction risk …
Clue into Climate Student Workbook - PBS LearningMedia
about what Earth’s climate was like long ago. I’m a science journalist. I write about climate change. I’m an oceanographer. I study how climate change affects ocean ecosystems. I’m a …
Data, Science, and Global Disasters - Project Euclid
Key words and phrases: Data science, climate change, biodiversity, pan-demic, Bell Labs. 1. INTRODUCTION The COVID-19 pandemic is widely and justifiably con-sidered a disaster on …
Predicting and Projecting Climate Change - UN CC:Learn
UN CC:Learn Predicting and Projecting Climate Change 5 Learning Topic 1: Climate Prediction and Climate Change Projection A climate prediction or climate forecast is an attempt to …
2021–2025 Climate Change Strategy - Gov
• Investment in B.C.-specific data, climate change science, monitoring and modelling of natural resources, and supports and guidance for decision-makers • Climate change adaptation and …
Dimensions and examples of the gender-differentiated …
of climate change. It highlights the interplay of gender and social norms resulting in women experiencing greater vulnerability to the impacts of climate change than men, while …
The science of attributing extreme weather events and its …
climate change. PEA is an emerging science with many uncertainties and it is thus important to give an overview of the key concepts, recent advances, and future developments. These will …
Transforming the Energy Sector: Addressing Key Challenges …
Climate change, resource depletion, and the need for decarbonization demand innovative solutions. This ... Data Science, Climate change, Energy Sector . Received on 20 October …
NASA Climate Change Research Initiative - Goddard Institute …
of climate and remote sensing as the process to study climate-related issues, such as land surface temperatures. Keywords: Climate, Urban Heat Island, land surface temperature, …
Climate Change 2023 Synthesis Report - IPCC
Climate and Development Futures’, provides a long-term assessment of climate change to 2100 and beyond in a broad range of socio-economic 58 The three Working Group contributions to …
Open access Protocol Identifying globally relevant learnings …
the enabling factors in Africa for catalytic change and developing data science applications. Their focus is on centres of excellence in data science and innovation; advancing policy for ethical, …
Ultrascale Visualization of Climate Data - NASA Technical …
z Heterogeneous data sources. Climate science data comes from simulations, observations, and reanalysis. Any visualization and analysis solution must unify these sources. z Reproducibility. …
And ClimAte ChAnGe: Back to Basics - US EPA
Climate Change, Global Warming, and Global Change Defined Q. how are the terms climate change, global warming, and global change different? A. The term climate change is often …
Climate Justice and STEM - Massachusetts Institute of …
Data Analysis. STEM professionals, climate scientists, meteorologists, and environmental. researchers provide critical data analysis on climate change trends, causes, and impacts. …
BECOMING - research.ucdenver.edu
artificial intelligence and data science, climate change (disaster preparedness, drought, environmental justice, resilience, and wildfire), cybersecurity, health (bioengineering, ... of Civil …
Synthesis Report - IPCC
A Report of the Intergovernmental Panel on Climate Change CLIMATE CHANGE 2023 Synthesis Report Summary for Policymakers. CLIMATE CHANGE 2023 ... The Physical Science Basis; …
PERSPECTIVE Climate Data Challenges in the 21st Century
range of policy-makers rely on climate data to developclimate changestrategies. Quiteliterally, climate data provide the backbone for billion-dollar decisions. With this gravity comes the re …
Climate Change and International Responses Increasing …
Administration, and the National Science Foundation. The IC relies on the broad consensus of scientific studies, modeling, and forecasts from the Intergovernmental Panel on Climate …
SOCIAL SCIENCES Social and economic impacts of climate
353, aad9837 (2016). DOI: 10.1126/science.aad9837 Two globes depict two possible futures for how the climate might change and how those changes are likely to affect humanity, based on …
