Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. 136 pp. Englisch. N� de ref. del art�culo: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method (SpringerBriefs in Mathematics of Planet Earth)

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Majda, Andrew J.

Publicado por Springer 2019-10, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method (SpringerBriefs in Mathematics of Planet Earth)

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian

Publicado por Springer, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Tropical Intraseasonal Variability and the Stochastic Skeleton Method

Andrew J. Majda

Publicado por Springer International Publishing, Springer Nature Switzerland, 2019

ISBN 10: 3030222462 ISBN 13: 9783030222468

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de ref. del art�culo: 9783030222468

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