A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming

A Vast Machine chronicles the history and evolution of climate science data systems and modeling from the 1800s through present day. The book examines how scientists built global networks for collecting weather data and developed methods to analyze and understand climate patterns. Edwards details the technological and institutional challenges of creating reliable climate knowledge from disparate data sources across time and geography. The narrative tracks the development of weather stations, satellite systems, and computer models while exploring how different organizations worked to standardize and integrate climate information. The role of computing power emerges as a central force in modern climate science, from early numerical weather prediction to today's complex global circulation models. The text covers key debates about data quality, model validation, and the relationship between observation and simulation in climate research. This wide-ranging work connects technical and social dimensions of climate science, revealing how the infrastructure of weather and climate knowledge shapes our understanding of global environmental change. The book demonstrates that climate science is as much about information systems and data practices as it is about the physics of the atmosphere.

Readers note the book's technical depth in explaining climate data systems and models. Many appreciate Edwards' detailed history of how weather monitoring evolved into climate science, though some found this made the text dense and academic. Liked: - Clear explanations of how climate models work - Historical context for understanding current climate debates - Balanced treatment of scientific uncertainty - Well-researched with extensive citations Disliked: - Heavy on technical details that can be overwhelming - Writing style can be dry and repetitive - Some sections move slowly through historical minutiae - Complex terminology makes it challenging for general readers Ratings: Goodreads: 4.0/5 (89 ratings) Amazon: 4.3/5 (31 ratings) Notable reader comments: "Thorough but requires dedication to get through" - Goodreads reviewer "Important content buried in academic prose" - Amazon reviewer "Best explanation of climate modeling I've read" - Amazon reviewer

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The Information by James Gleick Traces the evolution of information technologies and their impact on scientific knowledge, from African drums to modern computing.

Seeing Like a State by James C. Scott Examines how governments use data collection and standardization to make complex systems legible and manageable.

Weather by the Numbers by Kristine C. Harper Chronicles the rise of numerical weather prediction and the transformation of meteorology through computer modeling.

The Planet Remade by Oliver Morton Explores the history and science of geoengineering proposals to address climate change through technological intervention in Earth's systems.

🌍 Paul Edwards spent over 15 years researching and writing "A Vast Machine," conducting hundreds of interviews with climate scientists and data specialists across multiple continents. 🌡️ The title "A Vast Machine" comes from an 1837 quote by John Ruskin, who described the emerging weather observation network as "a vast machine harmoniously piecing itself together." 📊 The book reveals that modern climate science relies on more than 7,000 weather stations, 1,000 upper-air stations, 7,000 ships, 100 moored buoys, 1,000 drifting buoys, and countless satellites. 💾 Early climate models in the 1960s required so much computing power that scientists had to run them on the same supercomputers used for nuclear weapons research. 🗺️ The first global weather data-sharing agreement was established in 1873 with the International Meteorological Organization, marking the beginning of standardized international climate observation.