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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Earth Sciences (BRIEFSEARTH)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
About this book
This book endeavours to give a concise contribution to understanding the data assimilation and related methodologies. The mathematical concepts and related algorithms are fully presented, especially for those facing this theme for the first time.
The first chapter gives a wide overview of the data assimilation steps starting from Gauss' first methods to the most recent as those developed under the Monte Carlo methods. The second chapter treats the representation of the physical system as an ontological basis of the problem. The third chapter deals with the classical Kalman filter, while the fourth chapter deals with the advanced methods based on recursive Bayesian Estimation. A special chapter, the fifth, deals with the possible applications, from the first Lorenz model, passing trough the biology and medicine up to planetary assimilation, mainly on Mars.
This book serves both teachers and college students, and other interested parties providing the algorithms andformulas to manage the data assimilation everywhere a dynamic system is present.
Keywords
- 3DDA
- 4DDA
- Biology and Data Assimilation
- Cost Function and Data Assimilation
- Data Assimilation and Applications
- Data Model Building
- Inverse Problems and Applications
- NWP
- Numerical Weather Prediction
- Robotics and Data Assimilation
- Statistical Estimation
- Weather Forecast and Data Assimilation
- kalman Filter and Stochastical Modeling
- water quality and water pollution
Reviews
“This is a very nice book for non-experts who would like to get into the area of data assimilation. The well-organized structure and the step-by-step introduction of the concepts with the help of illustrative examples also make it suitable as a textbook for graduate courses. … A good amount of historical information and background material is included in this book … . the book would be more appealing and provide direction to young researchers.” (Nan Chen, Mathematical Reviews, March, 2016)
Authors and Affiliations
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System Biology Group, University La Sapienza, Rome, Italy
Rodolfo Guzzi
Bibliographic Information
Book Title: Data Assimilation: Mathematical Concepts and Instructive Examples
Authors: Rodolfo Guzzi
Series Title: SpringerBriefs in Earth Sciences
DOI: https://doi.org/10.1007/978-3-319-22410-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2016
Softcover ISBN: 978-3-319-22409-1Published: 25 September 2015
eBook ISBN: 978-3-319-22410-7Published: 16 September 2015
Series ISSN: 2191-5369
Series E-ISSN: 2191-5377
Edition Number: 1
Number of Pages: VIII, 135
Number of Illustrations: 3 b/w illustrations, 1 illustrations in colour
Topics: Simulation and Modeling, Earth System Sciences, Theoretical, Mathematical and Computational Physics, Environmental Science and Engineering, Water Quality/Water Pollution