A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming
The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future.
Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future.
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LibraryThing ReviewUser Review - kukulaj - LibraryThing
This book hits squarely at the center of my thinking. I have been dreaming of a Buddhist Philosophy of Science. This book works as the foundation. Edwards quotes Harry Collins on the need for a third ... Read full review
LibraryThing ReviewUser Review - jorgearanda - LibraryThing
A comprehensive, informative, and accessible account of the history of the development of climate models, of the infrastructure that sustains them, and of their epistemological underpinnings. Read full review
Seeing the Planetary Atmosphere
International Meteorology and the Réseau Mondial
4 Climatology and Climate Change before World War II
6 Numerical Weather Prediction
7 The Infinite Forecast
8 Making Global Data
11 Data Wars
13 Parametrics and the Limits of Knowledge
14 Simulation Models and Atmospheric Politics 19601992
Consensus Controversy and Climate Change
9 The First WWW
10 Making Data Global
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A Vast Machine: Computer Models, Climate Data, and the Politics of Global ...
Paul N. Edwards
No preview available - 2010