000			02420nam a22003738i 4500
001			CR9781139093811
003			UkCbUP
005			20200124160330.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			110525s2013||||enk o ||1 0|eng|d
020			_a9781139093811 (ebook)
020			_z9781107018983 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQC861.3 _b.L68 2013
082	0	0	_a551.501/514742 _223
100	1		_aLovejoy, S. _q(Shaun), _d1956- _eauthor.
245	1	4	_aThe weather and climate : _bemergent laws and multifractal cascades / _cShaun Lovejoy, Daniel Schertzer.
246	3		_aThe Weather & Climate
264		1	_aCambridge : _bCambridge University Press, _c2013.
300			_a1 online resource (xv, 475 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).
520			_aAdvances in nonlinear dynamics, especially modern multifractal cascade models, allow us to investigate the weather and climate at unprecedented levels of accuracy. Using new stochastic modelling and data analysis techniques, this book provides an overview of the nonclassical, multifractal statistics. By generalizing the classical turbulence laws, emergent higher-level laws of atmospheric dynamics are obtained and are empirically validated over time-scales of seconds to decades and length-scales of millimetres to the size of the planet. In generalizing the notion of scale, atmospheric complexity is reduced to a manageable scale-invariant hierarchy of processes, thus providing a new perspective for modelling and understanding the atmosphere. This synthesis of state-of-the-art data and nonlinear dynamics is systematically compared with other analyses and global circulation model outputs. This is an important resource for atmospheric science researchers new to multifractal theory and is also valuable for graduate students in atmospheric dynamics and physics, meteorology, oceanography and climatology.
650		0	_aMeteorology.
650		0	_aAtmospheric physics.
650		0	_aFractals.
650		0	_aScaling laws (Statistical physics)
700	1		_aSchertzer, D. _q(Daniel), _eauthor.
776	0	8	_iPrint version: _z9781107018983
856	4	0	_uhttps://doi.org/10.1017/CBO9781139093811
999			_c522451 _d522449