Tropical intraseasonal variability and the stochastic skeleton method / Andrew J. Majda [and 4 more].

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Tropical intraseasonal variability and the stochastic skeleton method / Andrew J. Majda [and 4 more].

3030222470
9783030222475 (electronic book)
3030222462
9783030222468

Cham : Springer, 2019.

English

1 online resource (131 pages).

10.1007/978-3-030-22

QC994

519

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.

Includes bibliographical references and index.

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Description based on print version record.

SpringerBriefs in Mathematics of Planet Earth.

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