9783030222468 - tropical intraseasonal variability and the stochastic skeleton method (springerbriefs in mathematics of planet earth) de majda, andrew j.; stechmann, samuel n.; chen, shengqian; ogrosky, h. reed; thual, sulian (17 resultados)
Tropical Intraseasonal Variability and the Stochastic Skeleton Method
Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Condición: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.
Tropical Intraseasonal Variability and the Stochastic Skeleton Method
Majda, Andrew J.; Stechmann, Samuel N.; Chen, Shengqian; Ogrosky, H. Reed; Thual, Sulian
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer Verlag, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Paperback. Condición: Brand New. 136 pages. 9.25x6.10x0.39 inches. In Stock.
Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Taschenbuch. Condición: 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 fe…atures 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.
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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 fundam…ental 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.
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Taschenbuch. Condición: Neu. Tropical Intraseasonal Variability and the Stochastic Skeleton Method | Andrew J. Majda (u. a.) | Taschenbuch | Mathematics of Planet Earth | ix | Englisch | 2019 | Springer | EAN 9783030222468 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot…]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
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Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Taschenbuch. Condición: 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 th…e 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.
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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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
Idioma: Inglés
Editorial: Springer, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Tropical Intraseasonal Variability and the Stochastic Skeleton Method
Andrew J. Majda|Samuel N. Stechmann|Shengqian Chen|H. Reed Ogrosky|Sulian Thual
Idioma: Inglés
Editorial: Springer International Publishing, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contributes to understanding and predicting intraseasonal variability, especially in the tropicsDemonstrates how a blend of modern applied mathematical tools can be used in conjunction with physical insight to create…a model that captures t.
Idioma: Inglés
Editorial: Springer, Springer VS Okt 2019, 2019
Serie: Mathematics of Planet Earth, Libro 7 de 13. Libro 7 de 13 - Mathematics of Planet Earth
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 fu…ndamental 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 136 pp. Englisch.
