000			04107nam a2200529 i 4500
001			6267526
003			IEEE
005			20190220121648.0
006			m o d
007			cr |n|||||||||
008			151223s2010 mauab ob 001 eng d
020			_a9780262294102 _qelectronic
020			_z0262294109 _qelectronic
020			_z9780262518635 _qprint
035			_a(CaBNVSL)mat06267526
035			_a(IDAMS)0b000064818b456e
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aQC995 _b.E296 2010eb
082	0	4	_a551.63 _222
100	1		_aEdwards, Paul N., _eauthor.
245	1	2	_aA vast machine : _bcomputer models, climate data, and the politics of global warming / _cPaul N. Edwards.
264		1	_aCambridge, Massachusetts : _bMIT Press, _cc2010.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010]
300			_a1 PDF (xxvii, 518 pages) : _billustrations, maps.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
500			_aAcademic Complete Subscription 2011-2012
500			_a""Multi-User""
504			_aIncludes bibliographical references (p. [441]-507) and index.
505	0		_aThinking globally -- Global space, universal time : seeing the planetary atmosphere -- Standards and networks : international meteorology and the R�eseau Mondial -- Climatology and climate change before World War II -- Friction -- Numerical weather prediction -- The infinite forecast -- Making global data -- The first WWW -- Making data global -- Data wars -- Reanalysis : the do-over -- Parametrics and the limits of knowledge -- Simulation models and atmospheric politics, 1960-1992 -- Signal and noise : consensus, controversy, and climate change.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aGlobal 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 doubters: 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 the reality of global warming.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/23/2015.
650		0	_aWeather forecasting.
650		0	_aClimatology _xHistory.
650		0	_aMeteorology _xHistory.
650		0	_aClimatology _xTechnological innovations.
650		0	_aGlobal temperature changes.
655		0	_aElectronic books.
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aMIT Press, _epublisher.
776	0	8	_iPrint version _z9780262518635
856	4	2	_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267526
999			_c39437 _d39437