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Q&A | February 27, 2014

Rene Denfeld: IMG Powell’s Q&A: Rene Denfeld



Describe your latest book. The Enchanted is a story narrated by a man on death row. The novel was inspired by my work as a death penalty... Continue »
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A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Infrastructures)

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A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Infrastructures) Cover

 

Synopses & Reviews

Publisher Comments:

andlt;Pandgt;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, andquot;sound science.andquot; In andlt;Iandgt;A Vast Machineandlt;/Iandgt; 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 andquot;seeandquot; 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.andlt;/Pandgt;

Synopsis:

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.

Synopsis:

andlt;Pandgt;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.andlt;/Pandgt;

Synopsis:

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.

About the Author

Paul N. Edwards is Professor in the School of Information and the Department of History at the University of Michigan. He is the author of The Closed World: Computers and the Politics of Discourse in Cold War America (1996) and a coeditor (with Clark Miller) of Changing the Atmosphere: Expert Knowledge and Environmental Governance (2001), both published by the MIT Press.

Product Details

ISBN:
9780262518635
Author:
Edwards, Paul N.
Publisher:
MIT Press (MA)
Author:
Massachusetts Institute of Technology
Location:
Cambridge
Subject:
Physics-Meteorology
Copyright:
Edition Description:
Trade paper
Series:
Infrastructures A Vast Machine
Publication Date:
20130208
Binding:
TRADE PAPER
Grade Level:
from 17
Language:
English
Illustrations:
74 band#38;w illus.
Pages:
552
Dimensions:
9 x 6 x 1.125 in

Related Subjects

Computers and Internet » Database » Design
Engineering » Engineering » History
Science and Mathematics » Geology » Earth Sciences
Science and Mathematics » Physics
Science and Mathematics » Physics » Meteorology

A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming (Infrastructures) New Trade Paper
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Product details 552 pages MIT Press (MA) - English 9780262518635 Reviews:
"Synopsis" by , 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.
"Synopsis" by , andlt;Pandgt;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.andlt;/Pandgt;
"Synopsis" by , 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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