[Vision2020] MIT Press: Paul N. Edwards "A Vast Machine: Computer Models, Climate Data, and the Politics of Global Warming"

[Paul Rumelhart]

Skeptics aren't saying that the very idea of modeling climate is wrong, 
just that too much import is being placed on the specific climate models 
that are currently being used.  These models should only be considered 
to be useful if their predictions are verified as accurate.  That's 
where the problems lies.  These models all make the same type of 
assumptions, and haven't had a very good track record for predicting 
climate changes as they occur.

I'll dig up some more references when I have more time, but here is an 
article that describes how the climate models have gotten the heat 
content of the oceans wrong.

http://pielkeclimatesci.wordpress.com/2009/05/05/have-changes-in-ocean-heat-falsified-the-global-warming-hypothesis-a-guest-weblog-by-william-dipuccio/

Paul

Ted Moffett wrote:
> http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=12080 
> <http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=12080>
>  
> A Vast Machine
> *Computer Models, Climate Data, and the Politics of Global Warming*
> Paul N. Edwards 
> <http://mitpress.mit.edu/catalog/author/default.asp?aid=572>
>
> Table of Contents and Sample Chapters 
> <http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=12080&mode=toc>
>
> 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.
>
> Edwards argues that all our knowledge about climate change comes from 
> three kinds of computer models: simulation models of weather and 
> climate; reanalysis models, which recreate climate history from 
> historical weather data; and data models, used to combine and adjust 
> measurements from many different sources. Meteorology creates 
> knowledge through an infrastructure (weather stations and other data 
> platforms) that covers the whole world, making global data. This 
> infrastructure generates information so vast in quantity and so 
> diverse in quality and form that it can be understood only by computer 
> analysis—making data global. Edwards describes the science behind the 
> scientific consensus on climate change, arguing that over the years 
> data and models have converged to create a stable, reliable, and 
> trustworthy basis for establishing the reality of global warming.
>
> *About the Author*
>
> Paul N. Edwards is Associate Professor in the School of Information 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.
>
> Reviews
>
> "I recommend this book with considerable enthusiasm. Although it’s a 
> term reviewers have made into a cliché, I think /A Vast Machine/ is 
> nothing less than a tour de force. It is the most complete and 
> balanced description we have of two sciences whose results and 
> recommendations will, in the years ahead, be ever more intertwined 
> with the decisions of political leaders and the fate of the human 
> species."
> —*Noel Castree*, /American Scientist/
>
> "A thorough and dispassionate analysis by a historian of science and 
> technology, Paul Edwards' book is well timed. Although written before 
> the University of East Anglia e-mail leak, it anticipates many of the 
> issues raised by the 'climategate' affair. [...] /A Vast Machine/ puts 
> the whole affair into historical context and should be compulsory 
> reading for anyone who now feels empowered to pontificate on how 
> climate science should be done."
> —*Myles Allen*, /Nature/
>
>
>
> Endorsements
>
> "/A Vast Machine/ is a beautifully written, analytically insightful, 
> and hugely well-informed account of the development and influence of 
> the models and data that are the foundation of our knowledge that the 
> climate is changing and that human beings are making it change."
> —*Donald MacKenzie*, Professor of Sociology, University of Edinburgh, 
> author of /An Engine, Not a Camera/
>
> “This important and articulate book explains how scientists learned to 
> understand the atmosphere, measure it, trace its past, and model its 
> future. Edwards counters skepticism and doom with compelling reasons 
> for hope and a call to action.”
> —*James Rodger Fleming*, Professor of Science, Technology and Society, 
> Colby College
>
> “With this new book, Paul Edwards once again writes the history of 
> technology on a grand scale. Through his investigation of 
> computational science, international governance, and scientific 
> knowledge production, he shows that the very ability to conceptualize 
> a global climate as such is wrapped up in the history of these 
> institutions and their technological infrastructure. In telling this 
> story, Edwards again makes an original contribution to a crowded field.”
> —*Greg Downey*, University of Wisconsin-Madison
>
> ------------------------------------------
> Vision2020 Post: Ted Moffett
> ------------------------------------------------------------------------
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