000			02557nam a22003858i 4500
001			CR9780511535895
003			UkCbUP
005			20230511121037.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090430s2002||||enk o ||1 0|eng|d
020			_a9780511535895 (ebook)
020			_z9780521813730 (hardback)
020			_z9780521021579 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aGC10.4.M36 _bB47 2002
082	0	0	_a551.46/001/5118 _221
100	1		_aBennett, Andrew F., _d1945- _eauthor.
245	1	0	_aInverse modeling of the ocean and atmosphere / _cAndrew F. Bennett.
246	3		_aInverse Modeling of the Ocean & Atmosphere
264		1	_aCambridge : _bCambridge University Press, _c2002.
300			_a1 online resource (xxii, 234 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_a1. Variational assimilation -- 2. Interpretation -- 3. Implementation -- 4. The varieties of linear and nonlinear estimation -- 5. The ocean and the atmosphere -- 6. Ill-posed forecasting problems.
505	0		_aApp. B. Euler-Lagrange equations for a numerical weather prediction model.
520			_aInverse Modeling of the Ocean and Atmosphere is a graduate-level book for students of oceanography and meteorology, and anyone interested in combining computer models and observations of the hydrosphere or solid earth. A step-by-step development of maximally efficient inversion algorithms, using ideal models, is complemented by computer codes and comprehensive details for realistic models. Variational tools and statistical concepts are concisely introduced, and applications to contemporary research models, together with elaborate observing systems, are examined in detail. The book offers a review of the various alternative approaches, and further advanced research topics are discussed. Derived from the author's lecture notes, this book constitutes an ideal course companion for graduate students, as well as being a valuable reference source for researchers and managers in theoretical earth science, civil engineering and applied mathematics.
650		0	_aOceanography _xMathematical models.
650		0	_aMeteorology _xMathematical models.
650		0	_aInverse problems (Differential equations)
776	0	8	_iPrint version: _z9780521813730
856	4	0	_uhttps://doi.org/10.1017/CBO9780511535895
999			_c8720 _d8720