000			02950nam a22003858i 4500
001			CR9780511535741
003			UkCbUP
005			20200124160234.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090429s2002||||enk o ||1 0|eng|d
020			_a9780511535741 (ebook)
020			_z9780521812108 (hardback)
020			_z9780521018081 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQC880.4.A8 _bE68 2002
082	0	0	_a628.5/3/015118 _221
100	1		_aEnting, I. G., _eauthor.
245	1	0	_aInverse problems in atmospheric constituent transport / _cI.G. Enting.
264		1	_aCambridge : _bCambridge University Press, _c2002.
300			_a1 online resource (xv, 392 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aCambridge atmospheric and space science series
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aPrinciples -- Atmospheric transport and transport models -- Estimation -- Time series estimation -- Observations of atmospheric composition -- The sources and sinks -- Problem formulation -- Ill-conditioning -- Analysis of model error -- Green's functions and synthesis inversion -- Time-stepping inversions -- Non-linear inversion techniques -- Experimental design -- Recent Applications -- Global carbon dioxide -- Global methane -- Halocarbons and other global-scale studies -- Regional inversions -- Constraining atmospheric transport.
520			_aThe critical role of trace gases in global atmospheric change makes an improved understanding of these gases imperative. Measurements of the distributions of these gases in space and time provide important information, but the interpretation of this information often involves ill-conditioned model inversions. A variety of techniques have therefore been developed to analyze these problems. Inverse Problems in Atmospheric Constituent Transport is the first book to give comprehensive coverage of work on this topic. The trace gas inversion problem is presented in general terms and the various different approaches are unified by treating the inversion problem as one of statistical estimation. Later chapters demonstrate the application of these methods to studies of carbon dioxide, methane, halocarbons and other gases implicated in global climate change. This book is aimed at graduate students and researchers embarking upon studies of global atmospheric change, biogeochemical cycles and Earth systems science.
650		0	_aAtmospheric diffusion _xMathematical models.
650		0	_aDynamic meteorology _xMathematical models.
650		0	_aInverse problems (Differential equations)
776	0	8	_iPrint version: _z9780521812108
830		0	_aCambridge atmospheric and space science series.
856	4	0	_uhttps://doi.org/10.1017/CBO9780511535741
999			_c517875 _d517873