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Predicting Our Climate Future

What We Know, What We Don't Know, And What We Can't Know

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1 of 1 copy available
1 of 1 copy available
This book is about how climate science works and why you should absolutely trust some of its conclusions and absolutely distrust others. Climate change raises new, foundational challenges in science. It requires us to question what we know and how we know it. The subject is important for society but the science is young and history tells us that scientists can get things wrong before they get them right. How, then, can we judge what information is reliable and what is open to question? Stainforth goes to the heart of the climate change problem to answer this question. He describes the fundamental characteristics of climate change and shows how they undermine the application of traditional research methods, demanding new approaches to both scientific and societal questions. He argues for a rethinking of how we go about the study of climate change in the physical sciences, the social sciences, economics, and policy. The subject requires nothing less than a restructuring of academic research to enable integration of expertise across diverse disciplines and perspectives. An effective global response to climate change relies on us agreeing about the underlying, foundational, scientific knowledge. Our universities and research institutes fail to provide the necessary clarity - they fail to separate the robust from the questionable - because they do not acknowledge the peculiar and unique challenges of climate prediction. Furthermore, the widespread availability of computer simulations often leads to research becoming divorced from understanding, something that risks undermining the relevance of research conclusions. This book takes the reader on a journey through the maths of complexity, the physics of climate, philosophical questions regarding the origins and robustness of knowledge, and the use of natural science in the economics and policy of climate change.
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    • Publisher's Weekly

      October 30, 2023
      The best climate models gives us only partial, indeterminate, and often misleading glimpses of how the planet will warm, according to this knotty debut treatise. Stainforth, a physicist at the London School of Economics and Political Science, contends that though the “robust” science on human-caused climate change is settled, difficulties remain in designing models capable of predicting how global warming will unfold. Climatologists, he explains, create complex, labyrinthine computer simulations that take millions of variables into account but sometimes generate wildly different outcomes depending on slight tweaks to their input parameters, raising questions about their validity. Scientists also fine-tune models by testing their ability to replicate past climate data, a practice that will likely lead to increasingly inaccurate results as the globe suffers from more unprecedented weather events. Unfortunately, Stainforth’s belabored analogies do little to elucidate the science (he likens the uncertainty of data points in climate simulations to not knowing whether one is in France or Italy when embarking on a road trip to the Netherlands), and general readers’ eyes will glaze over at the technical discussions of “macro-initial conditions” and the probability distributions represented in the volume’s bountiful graphs and charts. This is best suited for specialists. Photos.

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