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Global Warming Science: A Quantitative Introduction to Climate Change and Its Consequences

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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.

336 pages, Paperback

Published March 15, 2022

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Eli Tziperman

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622 reviews369 followers
September 2, 2022
Global Warming Science is a survey-level textbook of quantitative climate science and modeling written for undergraduates with a basic knowledge of statistics and differential calculus. It is primarily organized into chapters focused on specific regimes of climate change effects, such as changes to sea level and ocean acidity, cloud formation, droughts and precipitation, and forest fires. For each topic area, Tziperman reviews what is currently known about the key dynamics and mechanisms and discusses the efficacy and limitations of various models. Each chapter includes a series of exercises for Jupityr Notebooks, allowing students to plot various equations and run basic models for themselves. The level of Python necessary to run the exercises is fairly trivial, and anyone with a basic understanding of programming should not find it difficult.

The approach provides an excellent and comprehensive framework for understanding how actual climate modeling works in a general way. It surveys the key results of present-day modeling in each subject area. Other than the mathematical requirements, no special knowledge is necessary, and the book includes useful discussion and asides to explore relevant topics in climatology.

A book of this length is necessarily introductory, but as a survey, I found it extremely useful for getting a much deeper insight into how modeling actually works in modern climatology, and the degree to which one might even say that modern climatology IS modeling. It also gives a useful survey of the state of our knowledge on specific actual and potential effects of climate change.

I found it very well-written, clearly presented and organized, and extremely useful. An excellent book.
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