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＜電子ブック＞
Tropical Intraseasonal Variability and the Stochastic Skeleton Method / by Andrew J. Majda, Samuel N. Stechmann, Shengqian Chen, H. Reed Ogrosky, Sulian Thual
(SpringerBriefs in Mathematics of Planet Earth, Weather, Climate, Oceans. ISSN:25097334)

版	1st ed. 2019.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2019
本文言語	英語
大きさ	IX, 123 p. 46 illus., 33 illus. in color : online resource
著者標目	*Majda, Andrew J author Stechmann, Samuel N author Chen, Shengqian author Ogrosky, H. Reed author Thual, Sulian author SpringerLink (Online service)
件　名	LCSH:Geography -- Mathematics  全ての件名で検索 LCSH:Probabilities LCSH:Climatology FREE:Mathematics of Planet Earth FREE:Probability Theory FREE:Climate Sciences
一般注記	Introduction -- The deterministic skeleton model and observed features of the MJO -- A Stochastic Skeleton Model for the MJO -- Tropical–extratropical Interactions and the MJO Skeleton Model -- New indices for observations of tropical variability based on the skeleton model and a model for the Walker circulation -- Refined Vertical Structure in the Stochastic Skeleton Model for the MJO -- Current and Future Research Perspectives In 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 alsoapplied 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 HTTP:URL=https://doi.org/10.1007/978-3-030-22247-5

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