000			04326cam a2200421 i 4500
001			17621505
003			CO-NeUS
005			20180209100716.0
008			130211s2013 enka b 001 0 eng
010			_a2012044078
020			_a9780521879170 (hardback)
040			_aDLC _beng _cDLC _erda _dDLC _dCO-NeUS
041			_aeng
042			_apcc
050	0	0	_aQC874.5 _b.D55 2013
082	0	0	_a551.601 _223 _bD569n
100	1		_aDijkstra, Henk A. _eAutor _940284
245	1	0	_aNonlinear climate dynamics _cHenk A. Dijkstra, Utrecht University.
250			_aFirst edition
264			_aCambridge, New York _bCambridge University Prees _c2013
264		1	_aCambridge _aNew York _bCambridge University Press _c2013.
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
300			_axii, 357 pages _billustrations (some color) _c25 cm
504			_aIncludes bibliographical references (pages 337-352) and index.
505			_aClimate Variability -- Deterministic Dynamical Systems -- Introduction to Stochastic Calculus -- Stochastic Dynamical Systems -- Analysing Data from Stochastic Dynamical Systems -- The Climate Modelling Hierarchy -- The North Atlantic Oscillantion -- El Niño Variability -- Multidecadal Variability -- Dansgaard-Oeschger Events -- The Pleistocene Ice Ages -- Predictability -- References --
520			_a"This 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"-- _cProvided by publisher.
520			_a"Chapter 1: Climate Variability Complex motions on the sphere; CCDGAD, Aerial Boundaries, Michael Hedges. Human life is possible because of the specific conditions of the fluid envelopes surrounding the Earth. These fluid envelopes and the processes affecting their behavior are usually grouped into one system: the climate system. Quantities in the climate system, such as temperature and precipitation, vary on many time scales and these variations are highly relevant for many aspects of human life, such as food production and safety. There are many very good textbooks containing a description of the components of the climate system (Peixoto and Oort, 1992; Ruddiman, 2001), the relevant processes (Hartmann, 1994) and the modeling of the development of this system (McGuffie and Henderson-Sellers, 2006; Neelin, 2011). Many of these books first introduce the radiation balance with all the physical, chemical and biological processes affecting it. Next, the large-scale atmospheric circulation and ocean circulation are considered followed by the smaller-scale processes in these components of the climate system. Finally, the role of the biosphere and cryosphere are discussed. This is a book in which variability in the climate system is viewed from a stochastic dynamical systems framework"-- _cProvided by publisher.
650		0	_aClimatology _xStatistical methods. _9103441
650		0	_aDynamic climatology. _9107362
650		7	_aScience / earth sciences / meteorology & climatology. _9131082
650		7	_aClimatologia _xMétodos estadísticos _9103438
650		7	_aClimatología dinámica _9103440
856	4	2	_3Cover image _uhttp://assets.cambridge.org/97805218/79170/cover/9780521879170.jpg
942			_cCG
999			_c40516 _d40516