國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Tropical intraseasonal variability a...

Majda, Andrew J.

Tropical intraseasonal variability and the stochastic skeleton method

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tropical intraseasonal variability and the stochastic skeleton methodby Andrew J. Majda ... [et al.].
其他作者:	Majda, Andrew J.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	ix, 123 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Madden-Julian oscillationMathematical models.
電子資源:	https://doi.org/10.1007/978-3-030-22247-5
ISBN:	9783030222475$q(electronic bk.)

Tropical intraseasonal variability and the stochastic skeleton method
Tropical intraseasonal variability and the stochastic skeleton method[electronic resource] /by Andrew J. Majda ... [et al.]. - Cham :Springer International Publishing :2019. - ix, 123 p. :ill., digital ;24 cm. - SpringerBriefs in mathematics of planet earth, weather, climate, oceans,2509-7326. - SpringerBriefs in mathematics of planet earth, weather, climate, oceans..

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 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.

ISBN: 9783030222475$q(electronic bk.)

Standard No.: 10.1007/978-3-030-22247-5doiSubjects--Topical Terms:

852181
Madden-Julian oscillation
--Mathematical models.

LC Class. No.: QC994

Dewey Class. No.: 519

Tropical intraseasonal variability and the stochastic skeleton method
LDR:02950nmm a2200337 a 4500 001 566465
003 DE-He213
005 20191223141454.0
006 m d
007 cr nn 008maaau
008 200429s2019 gw s 0 eng d
020 $a 9783030222475$q(electronic bk.)
020 $a 9783030222468$q(paper)
024 7 $a 10.1007/978-3-030-22247-5 $2 doi
035 $a 978-3-030-22247-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QC994
072 7 $a PBW $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBW $2 thema
082 0 4 $a 519 $2 23
090 $a QC994 $b .T856 2019
245 0 0 $a Tropical intraseasonal variability and the stochastic skeleton method $h [electronic resource] / $c by Andrew J. Majda ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a ix, 123 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in mathematics of planet earth, weather, climate, oceans, $x 2509-7326
505 0 $a 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.
520 $a 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.
650 0 $a Madden-Julian oscillation $x Mathematical models. $3 852181
650 0 $a Madden-Julian oscillation $x Statistical methods. $3 852182
650 1 4 $a Mathematics of Planet Earth. $3 779959
650 2 4 $a Probability Theory and Stochastic Processes. $3 274061
650 2 4 $a Climate, general. $3 678283
700 1 $a Majda, Andrew J. $3 324679
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in mathematics of planet earth, weather, climate, oceans. $3 852180
856 4 0 $u https://doi.org/10.1007/978-3-030-22247-5
950 $a Mathematics and Statistics (Springer-11649)