000			02180nam a22003017a 4500
001			sulb-eb0015628
003			BD-SySUS
005			20160405134440.0
008			110225s2013||||enk o ||1 0|eng|d
020			_a9781139034135 (ebook)
020			_z9780521879170 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQC874.5 _b.D55 2013
082	0	0	_a551.601/175 _223
100	1		_aDijkstra, Henk A. , _eauthor.
245	1	0	_aNonlinear Climate Dynamics / _cHenk A. Dijkstra.
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (367 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 04 Apr 2016).
520			_aThis book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear processes, such as advection, radiation and turbulent mixing, play a central role in climate variability. These processes can give rise to transition phenomena, associated with tipping or bifurcation points, once external conditions are changed. The theory of dynamical systems provides a systematic way to study these transition phenomena. Its stochastic extension also forms the basis of modern (nonlinear) data analysis techniques, predictability studies and data assimilation methods. Early chapters apply the stochastic dynamical systems framework to a hierarchy of climate models to synthesize current knowledge of climate variability. Later chapters analyse phenomena such as the North Atlantic Oscillation, El Niño/Southern Oscillation, Atlantic Multidecadal Variability, Dansgaard–Oeschger events, Pleistocene ice ages and climate predictability. This book will prove invaluable for graduate students and researchers in climate dynamics, physical oceanography, meteorology and paleoclimatology.
650		0	_aDynamic climatology
776	0	8	_iPrint version: _z9780521879170
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139034135
942			_2Dewey Decimal Classification _ceBooks
999			_c37472 _d37472