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Canuto, V.

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Langevin stochastic equations = treatment of ocean, planetary boundary layer, and stellar turbulence /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Langevin stochastic equations/ by Vittorio Canuto.
Reminder of title:	treatment of ocean, planetary boundary layer, and stellar turbulence /
Author:	Canuto, V.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xiii, 164 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Langevin equations. -
Online resource:	https://doi.org/10.1007/978-3-031-86544-2
ISBN:	9783031865442

Langevin stochastic equations = treatment of ocean, planetary boundary layer, and stellar turbulence /
Canuto, V.

Langevin stochastic equationstreatment of ocean, planetary boundary layer, and stellar turbulence /[electronic resource] :by Vittorio Canuto. - Cham :Springer Nature Switzerland :2025. - xiii, 164 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in physics,2191-5431. - SpringerBriefs in physics..

This book derives, solves, and assesses the Langevin Stochastic Equations (LSE) as a tool for treating turbulent flows. Previous work has demonstrated the LSE's ability to successfully describe non-geophysical turbulent flows. However, this book specifically focuses on geophysical flows. Chapter I addresses the modeling of oceanic mesoscales (M) and sub-mesoscales (SM), while Chapter II discusses vertical mixing. The target audience for this book is advanced students and researchers interested in future climate change and the crucial role played by the ocean. One of the main challenges in describing oceanic M and SM is that they are governed by non-linear interactions for which no satisfactory model exists. Despite the unsuccessful attempts to describe non-linearity using the traditional Navier-Stokes Equations (NSE), heuristic models continue to be used. This has created a dilemma: while future climate projections need to be predictive, the heuristic treatment of M and SM lacks predictive power, leading to an internal inconsistency. The primary goal of this book is to demonstrate that the transition from NSE to LSE resolves this inconsistency, paving the way for a fully predictive treatment of M and SM. This advancement is crucial for providing future climate predictions with the credibility they require.

ISBN: 9783031865442

Standard No.: 10.1007/978-3-031-86544-2doiSubjects--Topical Terms:

1641997
Langevin equations.

LC Class. No.: TA357.5.T87

Dewey Class. No.: 532.05270151922

Langevin stochastic equations = treatment of ocean, planetary boundary layer, and stellar turbulence /
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490 1 $a SpringerBriefs in physics, $x 2191-5431
520 $a This book derives, solves, and assesses the Langevin Stochastic Equations (LSE) as a tool for treating turbulent flows. Previous work has demonstrated the LSE's ability to successfully describe non-geophysical turbulent flows. However, this book specifically focuses on geophysical flows. Chapter I addresses the modeling of oceanic mesoscales (M) and sub-mesoscales (SM), while Chapter II discusses vertical mixing. The target audience for this book is advanced students and researchers interested in future climate change and the crucial role played by the ocean. One of the main challenges in describing oceanic M and SM is that they are governed by non-linear interactions for which no satisfactory model exists. Despite the unsuccessful attempts to describe non-linearity using the traditional Navier-Stokes Equations (NSE), heuristic models continue to be used. This has created a dilemma: while future climate projections need to be predictive, the heuristic treatment of M and SM lacks predictive power, leading to an internal inconsistency. The primary goal of this book is to demonstrate that the transition from NSE to LSE resolves this inconsistency, paving the way for a fully predictive treatment of M and SM. This advancement is crucial for providing future climate predictions with the credibility they require.
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