データ同化：手法・アルゴリズム・応用 Data Assimilation : Methods, Algorithms, and Applications (Fundamentals of Algorithms) -- Paperback

Asch, Mark/ Bocquet, Marc/ Nodet, Maelle

Society for Industrial & Applied Mathematics,u.s.（2016/12発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 323 p.
• 商品コード 9781611974539

Full Description

Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing "why" and not just "how". Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find:* A comprehensive guide that is accessible to nonexperts.* Numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning.* The latest methods for advanced data assimilation, combining variational and statistical approaches.

Contents

* Part IIntroduction to Data Assimilation and Inverse Problems* Chapter 2: Optimal Control and Variational Data Assimilation* Chapter 3: Statistical Estimation and Sequential Data Assimilation* Part II: Advanced Methods and Algorithms for Data Assimilation* Chapter 4: Nudging Methods* Chapter 5: Reduced Methods* Chapter 6: The Ensemble Kalman Filter* Chapter 7: Ensemble Variational Methods* Part III: Applications and Case Studies* Chapter 8: Applications in Environmental Sciences* Chapter 9: Applications in Atmospheric Sciences* Chapter 10: Applications in Geosciences* Chapter 11: Applications in Medicine, Biology, Chemistry, and Physical Sciences* Chapter 12: Applications in Human and Social Sciences