عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
Qualification
(eISBN)
(Number (ISBN
9783030222475
NATIONAL BIBLIOGRAPHY NUMBER
Number
E3989
LANGUAGE OF THE ITEM
.Language of Text, Soundtrack etc
انگلیسی
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Tropical intraseasonal variability and the stochastic skeleton method
General Material Designation
[electronic resources: book]
First Statement of Responsibility
/ Andrew J. Majda [et al.]
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham
Name of Publisher, Distributor, etc.
: Springer
Date of Publication, Distribution, etc.
, 2019.
SERIES
Series Title
(SpringerBriefs in mathematics of planet earth)
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
CONTENTS NOTE
Text of Note
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
0
SUMMARY OR ABSTRACT
Text of Note
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
TYPE OF ELECTRONIC RESOURCE NOTE
Text of Note
pdf file
TOPICAL NAME USED AS SUBJECT
Madden-Julian oscillation -- Mathematical models.
Madden-Julian oscillation -- Statistical methods.
PERSONAL NAME - PRIMARY RESPONSIBILITY
Majda, Andrew, 1949-
ORIGINATING SOURCE
Country
Iran
Agency
University of Tehran. Library of College of Science
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
UT_SCI_BL_DB_1004305_0001.pdf
e
BL
278840
1
a
Y
