Introduction to turbulent dynamical systems in complex systems
- 作者: Majda, Andrew J., author.
- 其他作者:
- 其他題名:
- Frontiers in applied dynamical systems, reviews and tutorials ;
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: Frontiers in applied dynamical systems: reviews and tutorials,volume 5
- 主題: Turbulence--Mathematical models. , Mathematics. , Complex Systems. , Dynamical Systems and Ergodic Theory. , Geophysics/Geodesy. , Fluid- and Aerodynamics.
- ISBN: 9783319322179 (electronic bk.) 、 9783319322155 (paper)
- FIND@ISBN: CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU 、 CGU
- 資料類型: 電子書
- 內容註: Introduction -- Prototype Examples of Complex Turbulent Dynamical Systems -- The Mathematical Theory of Turbulent Dynamical Systems -- Statistical Prediction and UQ for Turbulent Dynamical Systems -- State Estimation, Data Assimilation, or Filtering for Complex Turbulent Dynamical Systems -- Finite Ensemble Kalman Filders (EnKF): Applied Practice, Mathematical Theory, and New Phenomena.
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讀者標籤:
- 系統號: 005369373 | 機讀編目格式
館藏資訊
This volume is a research expository article on the applied mathematics of turbulent dynamical systems through the paradigm of modern applied mathematics. It involves the blending of rigorous mathematical theory, qualitative and quantitative modeling, and novel numerical procedures driven by the goal of understanding physical phenomena which are of central importance to the field. The contents cover general framework, concrete examples, and instructive qualitative models. Accessible open problems are mentioned throughout. Topics covered include: · Geophysical flows with rotation, topography, deterministic and random forcing · New statistical energy principles for general turbulent dynamical systems, with applications · Linear statistical response theory combined with information theory to cope with model errors · Reduced low order models · Recent mathematical strategies for online data assimilation of turbulent dynamical systems as well as rigorous results for finite ensemble Kalman filters The volume will appeal to graduate students and researchers working mathematics, physics and engineering and particularly those in the climate, atmospheric and ocean sciences interested in turbulent dynamical as well as other complex systems.