Download the fantastic book titled Principles of Data Assimilation written by Seon Ki Park, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Principles of Data Assimilation", which was released on 29 September 2022. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.
Summary of Principles of Data Assimilation by Seon Ki Park PDF
Data assimilation is theoretically founded on probability, statistics, control theory, information theory, linear algebra, and functional analysis. At the same time, data assimilation is a very practical subject, given its goal of estimating the posterior probability density function in realistic high-dimensional applications. This puts data assimilation at the intersection between the contrasting requirements of theory and practice. Based on over twenty years of teaching courses in data assimilation, Principles of Data Assimilation introduces a unique perspective that is firmly based on mathematical theories, but also acknowledges practical limitations of the theory. With the inclusion of numerous examples and practical case studies throughout, this new perspective will help students and researchers to competently interpret data assimilation results and to identify critical challenges of developing data assimilation algorithms. The benefit of information theory also introduces new pathways for further development, understanding, and improvement of data assimilation methods.
Detail About Principles of Data Assimilation PDF
- Author : Seon Ki Park
- Publisher : Cambridge University Press
- Genre : Science
- Total Pages : 413 pages
- ISBN : 1108923895
- Release Date : 29 September 2022
- PDF File Size : 12,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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