Profiles more than 100 scientists from around the world who made important contributions to the study of weather and climate, including David Atlas, John Dalton, Kristina Katsaros, and Klaus Wyrtki.
This volume offers a comprehensive survey and a close analysis of efforts to develop actionable climate information in support of vital decisions for climate adaptation, risk management and policy. Arising from submissions and discussion at the 2011 Open Science Conference (OSC) of the World Climate Research Program (WCRP), the book addresses research and intellectual challenges which span the full range of Program activities.
The history of the growth and professionalization of American meteorology and its transformation into a physics- and mathematics-based scientific discipline. For much of the first half of the twentieth century, meteorology was more art than science, dependent on an individual forecaster's lifetime of local experience. In Weather by the Numbers, Kristine Harper tells the story of the transformation of meteorology from a “guessing science” into a sophisticated scientific discipline based on physics and mathematics. What made this possible was the development of the electronic digital computer; earlier attempts at numerical weather prediction had foundered on the human inability to solve nonlinear equations quickly enough for timely forecasting. After World War II, the combination of an expanded observation network developed for military purposes, newly trained meteorologists, savvy about math and physics, and the nascent digital computer created a new way of approaching atmospheric theory and weather forecasting. This transformation of a discipline, Harper writes, was the most important intellectual achievement of twentieth-century meteorology, and paved the way for the growth of computer-assisted modeling in all the sciences.
Science of Weather, Climate and Ocean Extremes presents an evidence-based view of the most important ways in which the build-up of greenhouse gases in the atmosphere is affecting both our atmosphere and the oceans. The book provides compelling reasons why concerted action is required to slow the rate at which the atmosphere and oceans are changing. It not only covers longer-term changes in extremes and their causes, but also considers the drivers and attribution of extreme events, including relevant methods and techniques. Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code. - Provides an evidence-based understanding of a significant risk to the future performance of human and natural systems - Includes assessments, advice and recommendations of extreme weather and climate events - Features case studies from around the globe to provide further context to the research
The Working Group I contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) provides a comprehensive assessment of the physical science basis of climate change. It considers in situ and remote observations; paleoclimate information; understanding of climate drivers and physical, chemical, and biological processes and feedbacks; global and regional climate modelling; advances in methods of analyses; and insights from climate services. It assesses the current state of the climate; human influence on climate in all regions; future climate change including sea level rise; global warming effects including extremes; climate information for risk assessment and regional adaptation; limiting climate change by reaching net zero carbon dioxide emissions and reducing other greenhouse gas emissions; and benefits for air quality. The report serves policymakers, decision makers, stakeholders, and all interested parties with the latest policy-relevant information on climate change. Available as Open Access on Cambridge Core.
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.
While it is widely acknowledged that climate change is among the greatest global challenges of our times, it has local implications too. This volume forefronts these local issues, giving anthropology a voice in this great debate, which is otherwise dominated by natural scientists and policy makers. It shows what an ethnographic focus can offer in furthering our understanding of the lived realities of climate debates. Contributors from communities around the world discuss local knowledge of, and responses to, environmental changes that need to feature in scientifically framed policies regarding mitigation and adaptation measures if they are to be effective.
This volume enables readers to understand the complexity associated with climate change policy and the science behind it. For example, the author describes the criticism and defense of the widely known “hockey stick” temperature graph derived from combining instrumental data and proxy temperature indications using tree ring, ice core and other paleoclimatic data. Readers will also learn that global warming cannot easily be avoided by reducing CO2 and other greenhouse gas emissions in rich countries. Not only is emissions reduction extremely difficult in rich countries, but demands such as the UN mandate to improve the lives of the poorest global citizens cannot be satisfied without significantly increasing global energy use, and CO2 emissions. Therefore, the author asserts that climate engineering and adaptation are preferable to mitigation, particularly since the science is less than adequate for making firm statements about the Earth’s future climate. Readers will also learn that global warming cannot easily be avoided by reducing CO2 and other greenhouse gas emissions in rich countries. Not only is emissions reduction extremely difficult in rich countries, but demands such as the UN mandate to improve the lives of the poorest global citizens cannot be satisfied without significantly increasing global energy use, and CO2 emissions. Therefore, the author asserts that climate engineering and adaptation are preferable to mitigation, particularly since the science is less than adequate for making firm statements about the Earth’s future climate.