A step by step guide to modelling Global Warming. Essential, if your are studying, creating, teaching or using a model like that used in the Global Warming Handbook. With access to a downloadable spreadsheet model with chart display.

A step by step guide to modelling Global Warming. Essential if you are studying, creating, teaching or using a model similar to that used in the Global Warming Handbook. With access to a downloadable spreadsheet model with chart display. Extensively reviewed after issue of the 2021 IPCC Science update (AR6) and extended to cover the effect of the oceans and Global Energy Imbalance.

Archer's Global Warming: Understanding the Forecast 2nd Edition, is the first real text to present the science and policy surrounding climate change at the right level. Accompanying videos, simulations and instructional support makes it easier to build a syllabus to improve and create new material on climate change. Archer's polished writing style makes the text entertaining while the improved pedagogy helps better understand key concepts, ideas and terms. This edition has been revised and reformulated with a new chapter template of short chapter introductions, study questions at the end, and critical thinking puzzlers throughout. Also a new asset for the BCS was created that will give ideas for assignments and topics for essays and other projects. Furthermore, a number of interactive models have been built to help understand the science and systems behind the processes.

Climate change, a familiar term today, is far more than just global warming due to atmospheric greenhouse gases including CO2. In order to understand the nature of climate change, it is necessary to consider the whole climatic system, its complexity, and the ways in which natural and anthropogenic activities act and influence that system and the environment. Over the past 20 years since the first edition of Understanding Global Climate Change was published, not only has the availability of climate-related data and computer modelling changed, but our perceptions of it and its impact have changed as well. Using a combination of ground data, satellite data, and human impacts, this second edition discusses the state of climate research today, on a global scale, and establishes a background for future discussions on climate change. This book is an essential reference text, relevant to any and all who study climate and climate change. Features Provides a thought-provoking and original approach to the science of climate. Emphasises that there are many factors contributing to the causation of climate change. Clarifies that while anthropogenic generation of carbon dioxide is important, it is only one of several human activities contributing to climate change. Considers climate change responses needed to be undertaken by politicians and society at national and global levels. Totally revised and updated with state-of-the-art satellite data and climate models currently in operation around the globe.

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.

Provides students with a solid foundation in climate science, with which to understand global warming, natural climate variations, and climate models. As climate models are one of our primary tools for predicting and adapting to climate change, it is vital we appreciate their strengths and limitations. Also key is understanding what aspects of climate science are well understood and where quantitative uncertainties arise. This textbook will inform the future users of climate models and the decision-makers of tomorrow by providing the depth they need, while requiring no background in atmospheric science and only basic calculus and physics. Developed from a course that the author teaches at UCLA, material has been extensively class-tested and with online resources of colour figures, Powerpoint slides, and problem sets, this is a complete package for students across all sciences wishing to gain a solid grounding in climate science.

Downscaling is a widely used technique for translating information from large-scale climate models to the spatial and temporal scales needed to assess local and regional climate impacts, vulnerability, risk and resilience. This book is a comprehensive guide to the downscaling techniques used for climate data. A general introduction of the science of climate modeling is followed by a discussion of techniques, models and methodologies used for producing downscaled projections, and the advantages, disadvantages and uncertainties of each. The book provides detailed information on dynamic and statistical downscaling techniques in non-technical language, as well as recommendations for selecting suitable downscaled datasets for different applications. The use of downscaled climate data in national and international assessments is also discussed using global examples. This is a practical guide for graduate students and researchers working on climate impacts and adaptation, as well as for policy makers and practitioners interested in climate risk and resilience.