非線形・確率論的気候力学 Nonlinear and Stochastic Climate Dynamics

非線形・確率論的気候力学<br>Nonlinear and Stochastic Climate Dynamics

個数：

非線形・確率論的気候力学
Nonlinear and Stochastic Climate Dynamics

Franzke, Christian L. E. (EDT)/ O'Kane, Terence J. (EDT)

ウェブストア価格 ¥41,119（本体¥37,381）
Cambridge University Press（2017/01発売）
外貨定価 US$ 196.00
ポイント 373pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 466 p.
言語 ENG
商品コード 9781107118140
DDC分類 551.6

Full Description

It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic forcing by fast processes, such as weather and convective systems, can induce regime behavior. Motivated by present difficulties in understanding the climate system and to aid the improvement of numerical weather and climate models, this book gathers contributions from mathematics, physics and climate science to highlight the latest developments and current research questions in nonlinear and stochastic climate dynamics. Leading researchers discuss some of the most challenging and exciting areas of research in the mathematical geosciences, such as the theory of tipping points and of extreme events including spatial extremes, climate networks, data assimilation and dynamical systems. This book provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians.

Preface; 1. Challenges for ice age dynamics: a dynamical systems perspective Michel Crucifix, Guillaume Lenoir and Takahito Mitsui; 2. Tipping points in the climate system Peter Ditlevsen; 3. Atmospheric teleconnection patterns Steven B. Feldstein and Christian L. E. Franzke; 4. Atmospheric regimes: the link between weather and the large scale circulation David M. Straus, Franco Molteni and Susanna Corti; 5. Low-frequency regime transitions and predictability of regimes in a barotropic model Balu T. Nadiga and Terence J. O'Kane; 6. Complex network techniques for climatological data analysis Reik V. Donner, Marc Wiedermann and Jonathan F. Donges; 7. On inference and validation of causality relations in climate teleconnections Illia Horenko, Susanne Gerber, Terence J. O'Kane, James S. Risbey and Didier P. Monselesan; 8. Stochastic climate theory Georg A. Gottwald, Daan T. Crommelin and Christian L. E. Franzke; 9. Stochastic subgrid modelling for geophysical and three-dimensional turbulence Jorgen S. Frederiksen, Vassili Kitsios, Terence J. O'Kane and Meelis J. Zidikheri; 10. Model error in data assimilation John Harlim; 11. Long-term memory in climate: detection, extreme events, and signiﬁcance of trends Armin Bunde and Josef Ludescher; 12. Fractional stochastic models for heavy tailed, and long-range dependent, ﬂuctuations in physical systems Nicholas Watkins; 13. Modelling spatial extremes using max-stable process Mathieu Ribatet; 14. Extreme value analysis in dynamical systems: two case studies Tamás Bódai; Index.