國立高雄大學圖資館 |

登入

回首頁

Langevin stochastic equationstreatment of ocean, planetary boundary layer, and stellar turbulence /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Langevin stochastic equationsby Vittorio Canuto.
其他題名:	treatment of ocean, planetary boundary layer, and stellar turbulence /
作者:	Canuto, V.
出版者:	Cham :Springer Nature Switzerland :2025.
面頁冊數:	xiii, 164 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Langevin equations.
電子資源:	https://doi.org/10.1007/978-3-031-86544-2
ISBN:	9783031865442$q(electronic bk.)

Langevin stochastic equationstreatment 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$q(electronic bk.)

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

648133
Langevin equations.

LC Class. No.: TA357.5.T87

Dewey Class. No.: 532.05270151922

Langevin stochastic equationstreatment of ocean, planetary boundary layer, and stellar turbulence /
LDR:02459nmm a2200337 a 4500 001 683397
003 DE-He213
005 20250627131929.0
006 m d
007 cr nn 008maaau
008 251212s2025 sz s 0 eng d
020 $a 9783031865442$q(electronic bk.)
020 $a 9783031865435$q(paper)
024 7 $a 10.1007/978-3-031-86544-2 $2 doi
035 $a 978-3-031-86544-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA357.5.T87
072 7 $a PHVG $2 bicssc
072 7 $a SCI032000 $2 bisacsh
072 7 $a PHVG $2 thema
082 0 4 $a 532.05270151922 $2 23
090 $a TA357.5.T87 $b C235 2025
100 1 $a Canuto, V. $3 997122
245 1 0 $a Langevin stochastic equations $h [electronic resource] : $b treatment of ocean, planetary boundary layer, and stellar turbulence / $c by Vittorio Canuto.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a xiii, 164 p. : $b ill. (some col.), digital ; $c 24 cm.
338 $a online resource $b cr $2 rdacarrier
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.
650 0 $a Langevin equations. $3 648133
650 0 $a Turbulence $x Mathematical models. $3 197021
650 1 4 $a Geophysics. $3 197003
650 2 4 $a Ocean Sciences. $3 914951
650 2 4 $a Climate Sciences. $3 914947
650 2 4 $a Planetary Science. $3 920190
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in physics. $3 557827
856 4 0 $u https://doi.org/10.1007/978-3-031-86544-2
950 $a Physics and Astronomy (SpringerNature-11651)