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.