000			02370nam a22002895i 4500
001			90542
005			20240112150700.0
010			_a978-3-030-22247-5 _dcompra
090			_a90542
100			_a20231023d2019 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aTropical intraseasonal variability and the stochastic skeleton method _bDocumento eletrónico _fby Andrew J. Majda ... [et al.]
210			_aCham _cSpringer International Publishing _d2019
215			_aIX, 123 p. _cil.
225	2		_aSpringerBriefs in Mathematics of Planet Earth Weather Climate Oceans
303			_aIn this text, modern applied mathematics and physical insight are used to construct the simplest and first nonlinear dynamical model for the Madden-Julian oscillation (MJO), i.e. the stochastic skeleton model. This model captures the fundamental features of the MJO and offers a theoretical prediction of its structure, leading to new detailed methods to identify it in observational data. The text contributes to understanding and predicting intraseasonal variability, which remains a challenging task in contemporary climate, atmospheric, and oceanic science. In the tropics, the Madden-Julian oscillation (MJO) is the dominant component of intraseasonal variability. One of the strengths of this text is demonstrating how a blend of modern applied mathematical tools, including linear and nonlinear partial differential equations (PDEs), simple stochastic modeling, and numerical algorithms, have been used in conjunction with physical insight to create the model. These tools are also applied in developing several extensions of the model in order to capture additional features of the MJO, including its refined vertical structure and its interactions with the extratropics. This book is of interest to graduate students, postdocs, and senior researchers in pure and applied mathematics, physics, engineering, and climate, atmospheric, and oceanic science interested in turbulent dynamical systems as well as other complex systems.
606			_aClimatologia _xModelos matemáticos
606			_aOscilação de Madden-Julian
680			_aQC981
701	1		_aMajda _bAndrew J. _4070
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-030-22247-5
942			_2lcc _cF _n0