Advertisement
| data science for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for 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 for climate change: Introduction to Climate Science Andreas Schmittner, 2024 |
| data science for 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 for 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 for 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 for 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 for 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 for 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 for 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 for climate change: 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. |
| data science for 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 for 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 for 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 for 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 for climate change: How Culture Shapes the Climate Change Debate Andrew J. Hoffman, 2015-03-11 Though the scientific community largely agrees that climate change is underway, debates about this issue remain fiercely polarized. These conversations have become a rhetorical contest, one where opposing sides try to achieve victory through playing on fear, distrust, and intolerance. At its heart, this split no longer concerns carbon dioxide, greenhouse gases, or climate modeling; rather, it is the product of contrasting, deeply entrenched worldviews. This brief examines what causes people to reject or accept the scientific consensus on climate change. Synthesizing evidence from sociology, psychology, and political science, Andrew J. Hoffman lays bare the opposing cultural lenses through which science is interpreted. He then extracts lessons from major cultural shifts in the past to engender a better understanding of the problem and motivate the public to take action. How Culture Shapes the Climate Change Debate makes a powerful case for a more scientifically literate public, a more socially engaged scientific community, and a more thoughtful mode of public discourse. |
| data science for 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 for 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 for 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 for climate change: 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 |
| data science for climate change: Global Warming Frances Drake, 2014-05-01 This topical textbook provides a bridge between technical and popular texts on global warming within the broader context of climate change. Written at an introductory level, it explains the interacting components of this system : what the greenhouse effect is; and how scientists seek to predict climate change. It makes accessible the technical and heavy science literature to the 'non-science' student. Global warming is one of the major environmental problems facing the world today. But it is an issue surrounded by great contention because it is based largely on scientific prediction and has yet to be proven. Opinion is divided regarding whether global warming will occur and, if it does, what the effects will be. In order to appreciate the uncertainties surrounding this issue, it is necessary to understand the workings of the climate system and the methods by which scientists seek to predict climate change. 'Global Warming' aims to make accessible the heavily technical literature to the non-science student, providing a bridge between the highly scientific and the popular non-academic texts. Placing global warming within the broader context of climate change, this textbook details the interacting components of the climatic system, reviewing the importance of changing carbon dioxide levels for the evolution of the Earth's atmosphere and climate. Utilising observed and modelled data, it presents the latest evidence for and against global warming whilst highlighting the difficulties involved with analysing both types of data and introducing areas of controversy within research. The book also addresses the important problem of making policy decisions for the future, based on the uncertain science of global warming. |
| data science for 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 science for climate change: Apocalypse Never (resumo) Michael Shellenberger, 2023-04-28 Este livro é um resumo produzido a partir da obra original. A mudança climática é real, mas não é o fim do mundo. Não é sequer nosso maior problema ambiental. Michael Shellenberger tem lutado por um planeta mais verde por décadas. Ajudou a salvar as últimas sequoias ameaçadas do mundo, co-criou o que seria o predecessor do atual Novo Acordo Verde (Green New Deal), além de, juntamente com cientistas climáticos e ativistas, liderar uma ação bem sucedida para manter as usinas nucleares funcionando, assim evitando os famosos picos de emissão. Porém, em 2019, enquanto se alegava que bilhões de pessoas iriam morrer, o que contribuiu para uma ampla crise de ansiedade ― inclusive entre adolescentes ―, como ativista ambiental há anos, afamado especialista em energia e pai de uma adolescente, Shellenberger resolveu que deveria falar mais a respeito a fim de separar a ficção da ciência. Mesmo após anos da atenção dada pela grande mídia, muitos continuam ignorantes quanto aos fatos mais básicos sobre clima. Em boa parte das nações mais desenvolvidas, os picos das emissões de carbono vêm caindo há mais de uma década. O mesmo ocorre quanto aos números de mortes causadas por condições climáticas extremas, que tiveram uma queda de 80% nos últimos quarenta anos, inclusive em nações mais pobres. Além disso, o risco de um superaquecimento da Terra tem se tornado mais improvável graças ao baixo crescimento populacional e a abundância de gás natural. Curiosamente, aqueles que são mais alarmistas quanto aos problemas climáticos também são os que tendem a se opor às soluções mais óbvias. O que está realmente por detrás de todo esse levante apocalítico ambientalista? Estão poderosos interesses financeiros. Há desejo por status e poder. E há, sobretudo, um desejo de transcendência de pessoas supostamente seculares. O impulso espiritual pode ser natural e saudável, porém ao pregar medo sem amor e culpa sem redenção, a nova religião não está satisfazendo nossas mais profundas necessidades psicológicas e existenciais. |
| data science for 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 for 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 for climate change: A Vast Machine Paul N. Edwards, 2010-03-12 The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future. |
| data science for climate change: Cool It Bjorn Lomborg, 2007-09-11 Bjorn Lomborg argues that many of the elaborate and staggeringly expensive actions now being considered to meet the challenges of global warming ultimately will have little impact on the world’s temperature. He suggests that rather than focusing on ineffective solutions that will cost us trillions of dollars over the coming decades, we should be looking for smarter, more cost-effective approaches (such as massively increasing our commitment to green energy R&D) that will allow us to deal not only with climate change but also with other pressing global concerns, such as malaria and HIV/AIDS. And he considers why and how this debate has fostered an atmosphere in which dissenters are immediately demonized. |
| data science for 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 for climate change: 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. |
Tackling climate change with data science and AI - Alan …
researchers and funders can better use data science and AI to tackle climate change: 1. Apply cutting-edge data science and AI to environmental decision-making. 2. Foster a community of …
A BIG DATA GUIDE TO UNDERSTANDING CLIMATE CHANGE
We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications.
The Climate Data Challenge - United Nations Environment …
Here, climate data are classified in relation to broad themes of environmental impacts deriving from climate change. These include global mean surface temperature, emissions …
Advancing climate science with knowledge-discovery through …
Here we discuss key big-data challenges facing climate science, with an overview of recent efforts to apply KDD to this field, and we provide concrete examples from ongoing research.
Climate Informatics: Accelerating Discovering in Climate …
Climate scientists use climate models, large-scale mathematical models run as computer simula-tions, to understand and predict the climate. Geophysical experts, including climate scientists …
The Power of Data: Driving Climate Change with Data Science …
societal challenges relating to climate change. Therefore, data science and emerging and innovative digital technologies can improve resilience to global warming-related, natural …
Role of Data Science in Improving Climate Change Model
To examine how data science techniques can be applied to enhance climate change modeling. To analyze the role of machine learning and big data analytics in improving model accuracy …
Measuring Climate Change: The importance of geospatial …
Climate change (CC), associated with greenhouse gas emissions, has negative effects on economic activities and human well-being. Through certain biological processes, vegetation …
Understanding Climate Change: A Data-Driven Approach
Comparative analysis of climate networks leverages the DOE-funded network theory & scalable algorithms. if the error gets interpolated to 10-15 day i n ad vance f orecast? Forecast 10-15 …
Harnessing the Power of AI for Climate Change Impact …
Artificial intelligence (AI) can be used to conduct flexible and computationally efficient climate change impact assessment. Input data can range from traditional climate simulations from …
ClimateLearn: Benchmarking Machine Learning for Weather …
To bridge this gap, we propose ClimateLearn, an open-source, user-friendly PyTorch library for data-driven climate science. To the best of our knowledge, it is the first software package to …
Data Science Contribution to Climate and Environmental …
By analyzing data from sources like satellite imagery and sensor networks, data science provides valuable insights that enhance climate models, predict natural disasters, and promote …
Big data has big potential for applications to climate change …
We contend that careful application of big data could revolutionize our understanding of how to manage the risks of climate change. Although a consistent definition is lacking, there is …
Computing for net zero: how digital technology can create a …
Digital technology could play an important role in the transition to a low carbon world by enabling emissions reductions across the global economy and limiting the emissions created by …
Ultrascale Visualization of Climate Data - NASA Technical …
APIs in either a loose coupling or tight integration, the framework enables scientists to understand climate and observation data across models, providing the breadth of understanding needed …
Using Machine Learning for Climate Related Impact Evaluations
Climate Change (ARCC). The resulting map of climate change vulnerability provides a more comprehensive picture of the most affected communities and their potential for recovery and …
Data, Science, and Global Disasters - Project Euclid
Data science, climate change, biodiversity, pan-demic, Bell Labs. 1. INTRODUCTION. The COVID-19 pandemic is widely and justifiably con-sidered a disaster on a global scale. Its …
PERSPECTIVE Climate Data Challenges in the 21st Century
Documenting the past behavior of the climate system, as well as detecting changes and their causes, requires the use of data from instrumental, paleoclimatic, satellite, and model-based …
Detection and Attribution of Climate Change Impacts on …
Wellcome Trust’s strategy on data science for climate change and health, and we highlight opportunities in each of these areas that could help advance health impact attribution. In the …
A climate-driven investment approach - UBS
gate climate change and the transition to a low-carbon economy. Climate change is an important concern for UBS Asset Man-agement from an investment risk, capital flow, value creation, …
Tackling climate change with data science and AI - Alan …
researchers and funders can better use data science and AI to tackle climate change: 1. Apply cutting-edge data science and AI to environmental decision-making. 2. Foster a community of …
A BIG DATA GUIDE TO UNDERSTANDING CLIMATE CHANGE …
We focus on data, methods, and application challenges that must be addressed in order for big data to fulfill their promise with regard to climate science applications.
The Climate Data Challenge - United Nations Environment …
Here, climate data are classified in relation to broad themes of environmental impacts deriving from climate change. These include global mean surface temperature, emissions …
Spatio-Temporal Data Mining for Climate Data: Advances, …
In this chapter we focus on the advances and opportunities for spatio-temporal data mining: a collection of methods that mine the data’s spatio-temporal context to increase an algorithm’s …
Advancing climate science with knowledge-discovery …
Here we discuss key big-data challenges facing climate science, with an overview of recent efforts to apply KDD to this field, and we provide concrete examples from ongoing research.
Climate Informatics: Accelerating Discovering in Climate …
Climate scientists use climate models, large-scale mathematical models run as computer simula-tions, to understand and predict the climate. Geophysical experts, including climate scientists …
The Power of Data: Driving Climate Change with Data …
societal challenges relating to climate change. Therefore, data science and emerging and innovative digital technologies can improve resilience to global warming-related, natural …
Role of Data Science in Improving Climate Change Model
To examine how data science techniques can be applied to enhance climate change modeling. To analyze the role of machine learning and big data analytics in improving model accuracy …
Measuring Climate Change: The importance of geospatial …
Climate change (CC), associated with greenhouse gas emissions, has negative effects on economic activities and human well-being. Through certain biological processes, vegetation …
Understanding Climate Change: A Data-Driven Approach
Comparative analysis of climate networks leverages the DOE-funded network theory & scalable algorithms. if the error gets interpolated to 10-15 day i n ad vance f orecast? Forecast 10-15 …
Harnessing the Power of AI for Climate Change Impact …
Artificial intelligence (AI) can be used to conduct flexible and computationally efficient climate change impact assessment. Input data can range from traditional climate simulations from …
ClimateLearn: Benchmarking Machine Learning for Weather …
To bridge this gap, we propose ClimateLearn, an open-source, user-friendly PyTorch library for data-driven climate science. To the best of our knowledge, it is the first software package to …
Data Science Contribution to Climate and Environmental …
By analyzing data from sources like satellite imagery and sensor networks, data science provides valuable insights that enhance climate models, predict natural disasters, and promote …
Big data has big potential for applications to climate change …
We contend that careful application of big data could revolutionize our understanding of how to manage the risks of climate change. Although a consistent definition is lacking, there is …
Computing for net zero: how digital technology can create a …
Digital technology could play an important role in the transition to a low carbon world by enabling emissions reductions across the global economy and limiting the emissions created by …
Ultrascale Visualization of Climate Data - NASA Technical …
APIs in either a loose coupling or tight integration, the framework enables scientists to understand climate and observation data across models, providing the breadth of understanding needed …
Using Machine Learning for Climate Related Impact Evaluations
Climate Change (ARCC). The resulting map of climate change vulnerability provides a more comprehensive picture of the most affected communities and their potential for recovery and …
Data, Science, and Global Disasters - Project Euclid
Data science, climate change, biodiversity, pan-demic, Bell Labs. 1. INTRODUCTION. The COVID-19 pandemic is widely and justifiably con-sidered a disaster on a global scale. Its …
PERSPECTIVE Climate Data Challenges in the 21st Century
Documenting the past behavior of the climate system, as well as detecting changes and their causes, requires the use of data from instrumental, paleoclimatic, satellite, and model-based …
Detection and Attribution of Climate Change Impacts on …
Wellcome Trust’s strategy on data science for climate change and health, and we highlight opportunities in each of these areas that could help advance health impact attribution. In the …
A climate-driven investment approach - UBS
gate climate change and the transition to a low-carbon economy. Climate change is an important concern for UBS Asset Man-agement from an investment risk, capital flow, value creation, …
