This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.

Tackling one of the most controversial subjects of our time, one of the world's foremost environmental and petroleum engineers explores the potential causes and ramifications of global climate change. For too many years climate change (also referred to as global warming) has been assigned predominantly to the emissions of carbon dioxide through the combustion of fossil fuels. It must never be forgotten or ignored, however, that the Earth has been constantly changing since its formation and has gone through different eras like glaciations, among others. These changes need thousands of years to be made visible, and are likely still continuing, given the increase in the average temperature of the Earth since the pre-industrial period (provided that the measurements of past climatic temperatures are accurate and beyond reproach). It follows that the warming trend that has occurred over the past 100 years is very likely to have some origins in natural events as well as in human activity. The precise contributions of natural effects and anthropogenic effects on the climate are not known, but it is accurate to conclude that many factors continue to influence climate. Whether or not human activities have become a dominant force in the changing climate and are responsible for most of the warming observed is still open to question. When studying the climate system of the Earth, an area of common confusion is whether climate scientists agree or disagree as to whether or not climate change is happening, or if it is happening, whether or not humans are the primary cause. There are a variety of reasons for this, but a majority of scientists who study climate and publish in peer-reviewed journals agree that human activity is causing the warming of the Earth. The purpose of this book is to weigh all of these various data points and, in a scientific and unemotional way, arrive at likely conclusions regarding global climate change. Whether human activity is the main driver behind our current changes in climate, one thing is certain: Climate change is happening, and we all need to make informed, rather than emotional, decisions.

Researchers, higher education administrators, and high school and university students desire a sourcebook like The Model Minority Stereotype: Demystifying Asian American Success. This second edition has updated contents that will assist readers in locating research and literature on the model minority stereotype. This sourcebook is composed of an annotated bibliography on the stereotype that Asian Americans are successful. Each chapter in The Model Minority Stereotype is thematic and challenges the model minority stereotype. Consisting of a twelfth and updated chapter, this book continues to be the most comprehensive book written on the model minority myth to date.

As a consequence of recent increased awareness of the social and political dimensions of climate, many non-specialists discover a need for information about the variety of available climate models. A Climate Modelling Primer, Fourth Edition is designed to explain the basis and mechanisms of all types of current physically-based climate models. A thoroughly revised and updated edition, this book will assist the reader in understanding the complexities and applicabilities of today’s wide range of climate models. Topics covered include the latest techniques for modelling the coupled biosphere-ocean-atmosphere system, information on current practical aspects of climate modelling and ways to evaluate and exploit the results, discussion of Earth System Models of Intermediate Complexity (EMICs), and interactive exercises based on Energy Balance Model (EBM) and the Daisyworld model. Source codes and results from a range of model types allows readers to make their own climate simulations and to view the results of the latest high resolution models. Now in full colour throughout and with the addition of cartoons to enhance student understanding the new edition of this successful textbook enables the student to tackle the difficult subject of climate modeling.

This book presents the result of an innovative challenge, to create a systematic literature overview driven by machine-generated content. Questions and related keywords were prepared for the machine to query, discover, collate and structure by Artificial Intelligence (AI) clustering. The AI-based approach seemed especially suitable to provide an innovative perspective as the topics are indeed both complex, interdisciplinary and multidisciplinary, for example, climate, planetary and evolution sciences. Springer Nature has published much on these topics in its journals over the years, so the challenge was for the machine to identify the most relevant content and present it in a structured way that the reader would find useful. The automatically generated literature summaries in this book are intended as a springboard to further discoverability. They are particularly useful to readers with limited time, looking to learn more about the subject quickly and especially if they are new to the topics. Springer Nature seeks to support anyone who needs a fast and effective start in their content discovery journey, from the undergraduate student exploring interdisciplinary content, to Master- or PhD-thesis developing research questions, to the practitioner seeking support materials, this book can serve as an inspiration, to name a few examples. It is important to us as a publisher to make the advances in technology easily accessible to our authors and find new ways of AI-based author services that allow human-machine interaction to generate readable, usable, collated, research content.

From leading climate scientist Dr. Friederike Otto, this gripping book reveals the revolutionary science that definitively links extreme weather events—including deadly heat waves, forest fires, floods, and hurricanes—to climate change. “Meet the forensic scientists of climate change; if you like CSI, you’ll be equally enthralled with the skill and speed these folks exhibit. But the stakes are infinitely higher!” —Bill McKibben, author of Falter and The End of Nature Tied with Hurricane Katrina as the costliest cyclone on record, Hurricane Harvey caused catastrophic flooding and over a hundred deaths in 2017. Angry Weather tells the compelling, day-by-day story of the World Weather Attribution unit—a team of scientists that studies extreme weather events while they’re happening—and their race to track the connection between the hurricane and climate change. As the hurricane unfolds, Otto reveals how attribution science works in real time, and determines that Harvey’s terrifying floods were three times more likely to occur due to human-induced climate change. At the forefront of cutting-edge climate science, Friederike Otto uncovers how the new ability to determine climate change’s role in extreme weather events can dramatically transform how we view the climate crisis: from how it will affect those of us who are most vulnerable, to the corporations and governments that may find themselves held accountable in the courts. The research laid out in Angry Weather will have profound impacts, both today and for the future of humankind. Published in Partnership with the David Suzuki Institute.

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.