William J. Emery – författare

Data Analysis Methods in Physical Oceanography is a practical referenceguide to established and modern data analysis techniques in earth and oceansciences. This second and revised edition is even more comprehensive with numerous updates, and an additional appendix on ''Convolution and Fourier transforms''.

Intended for both students and established scientists, the fivemajor chapters of the book cover data acquisition and recording, dataprocessing and presentation, statistical methods and error handling,analysis of spatial data fields, and time series analysis methods. Chapter 5on time series analysis is a book in itself, spanning a wide diversity oftopics from stochastic processes and stationarity, coherence functions,Fourier analysis, tidal harmonic analysis, spectral and cross-spectralanalysis, wavelet and other related methods for processing nonstationarydata series, digital filters, and fractals. The seven appendices includeunit conversions, approximation methods and nondimensional numbers used ingeophysical fluid dynamics, presentations on convolution, statisticalterminology, and distribution functions, and a number of importantstatistical tables. Twenty pages are devoted to references.

Featuring:• An in-depth presentation of modern techniques for the analysis of temporal and spatial data sets collected in oceanography, geophysics, and other disciplines in earth and ocean sciences.• A detailed overview of oceanographic instrumentation and sensors - old and new - used to collect oceanographic data.• 7 appendices especially applicable to earth and ocean sciences ranging from conversion of units, through statistical tables, to terminology and non-dimensional parameters.

In praise of the first edition: "(...)This is a very practical guide to the various statistical analysis methods used for obtaining information from geophysical data, with particular reference to oceanography(...)The book provides both a text for advanced students of the geophysical sciences and a useful reference volume for researchers." Aslib Book Guide Vol 63, No. 9, 1998

"(...)This is an excellent book that I recommend highly and will definitely use for my own research and teaching." EOS Transactions, D.A. Jay, 1999

"(...)In summary, this book is the most comprehensive and practical source of information on data analysis methods available to the physical oceanographer. The reader gets the benefit of extremely broad coverage and an excellent set of examples drawn from geographical observations." Oceanography, Vol. 12, No. 3, A. Plueddemann, 1999

"(...)Data Analysis Methods in Physical Oceanography is highly recommended for a wide range of readers, from the relative novice to the experienced researcher. It would be appropriate for academic and special libraries." E-Streams, Vol. 2, No. 8, P. Mofjelf, August 1999

Data Analysis Methods in Physical Oceanography, Third Edition is a practical reference to established and modern data analysis techniques in earth and ocean sciences. Its five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The revised Third Edition updates the instrumentation used to collect and analyze physical oceanic data and adds new techniques including Kalman Filtering. Additionally, the sections covering spectral, wavelet, and harmonic analysis techniques are completely revised since these techniques have attracted significant attention over the past decade as more accurate and efficient data gathering and analysis methods.

Completely updated and revised to reflect new filtering techniques and major updating of the instrumentation used to collect and analyze data Co-authored by scientists from academe and industry, both of whom have more than 30 years of experience in oceanographic research and field work Significant revision of sections covering spectral, wavelet, and harmonic analysis techniques Examples address typical data analysis problems yet provide the reader with formulaic "recipes� for working with their own data Significant expansion to 350 figures, illustrations, diagrams and photos

Data Analysis Methods in Physical Oceanography, Third Edition is a practical reference to established and modern data analysis techniques in earth and ocean sciences. Its five major sections address data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The revised Third Edition updates the instrumentation used to collect and analyze physical oceanic data and adds new techniques including Kalman Filtering. Additionally, the sections covering spectral, wavelet, and harmonic analysis techniques are completely revised since these techniques have attracted significant attention over the past decade as more accurate and efficient data gathering and analysis methods.- Completely updated and revised to reflect new filtering techniques and major updating of the instrumentation used to collect and analyze data- Co-authored by scientists from academe and industry, both of whom have more than 30 years of experience in oceanographic research and field work- Significant revision of sections covering spectral, wavelet, and harmonic analysis techniques- Examples address typical data analysis problems yet provide the reader with formulaic "recipes for working with their own data- Significant expansion to 350 figures, illustrations, diagrams and photos

Data Analysis Methods in Physical Oceanography: Fourth Edition provides a practical reference to established and modern data analysis techniques in earth and ocean sciences. In five sections, the book addresses data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The updated edition includes new information on autonomous platforms and new analysis tools such as "deep learning� and convolutional neural networks. A section on extreme value statistics has been added, and the section on wavelet analysis has been expanded.This book brings together relevant techniques and references recent papers where these techniques have been trialed. In addition, it presents valuable examples using physical oceanography data. For students, the sections on data acquisition are useful for a compilation of all the measurement methods.

Includes content co-authored by scientists from academia and industry, both of whom have more than 30 years of experience in oceanographic research and field workProvides boxed worked examples that address typical data analysis problems, including examples with computer code (e.g., python code, MATLAB code)Presents brief summaries at the end of the more difficult sections to help readers looking for foundational information

Data Analysis Methods in Physical Oceanography, Fourth Edition provides a practical reference to established and modern data analysis techniques in earth and ocean sciences. In five sections, the book addresses data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. The updated edition includes new information on autonomous platforms and new analysis tools such as "deep learning and convolutional neural networks. A section on extreme value statistics has been added, and the section on wavelet analysis has been expanded.This book brings together relevant techniques and references recent papers where these techniques have been trialed. In addition, it presents valuable examples using physical oceanography data. For students, the sections on data acquisition are useful for a compilation of all the measurement methods.- Includes content co-authored by scientists from academia and industry, both of whom have more than 30 years of experience in oceanographic research and field work- Provides boxed worked examples that address typical data analysis problems, including examples with computer code (e.g., python code, MATLAB code)- Presents brief summaries at the end of the more difficult sections to help readers looking for foundational information

Satellite Remote Sensing: Past, Present and Future reviews the evolution of Earth remote sensing, from earlier technologies in aerial and satellite remote sensing of the Earth that paved the way for current techniques to current uses and applications. In addition, the book covers future capabilities and research goals. Sections discuss novel applications, interdisciplinary functions, and outline current uses and limitations of various remote sensing technologies, thus putting into context how breakthroughs were made in developments. This is a valuable reference for students, professors of foundational remote sensing courses, and researchers and professionals seeking a wider understanding of remote sensing and its capabilities. - Overviews the evolution of Earth remote sensing to provide deeper knowledge of remote sensing technologies- Summarizes the present status of Earth Remote sensing to better understand current applications and limitations- Concludes with recent advances, considering future potential uses of these technologies

Satellite Remote Sensing: Past, Present and Future reviews the evolution of Earth remote sensing, from earlier technologies in aerial and satellite remote sensing of the Earth that paved the way for current techniques to current uses and applications. In addition, the book covers future capabilities and research goals. Sections discuss novel applications, interdisciplinary functions, and outline current uses and limitations of various remote sensing technologies, thus putting into context how breakthroughs were made in developments. This is a valuable reference for students, professors of foundational remote sensing courses, and researchers and professionals seeking a wider understanding of remote sensing and its capabilities.

Overviews the evolution of Earth remote sensing to provide deeper knowledge of remote sensing technologiesSummarizes the present status of Earth Remote sensing to better understand current applications and limitationsConcludes with recent advances, considering future potential uses of these technologies

Descriptive Physical Oceanography: An Introduction, Fourth Enlarged Edition considers the synoptic or descriptive aspects of physical oceanography with considerable illustrative materials and some 45 additional figures. This book is divided into nine chapters, and begins with an introduction to the basic goal of physical oceanographic study. The next chapters describe the features of the ocean basins, physical properties of seawater, and the ocean''s distribution of water characteristics. These topics are followed by discussions of the conservation of seawater volume and salt; the techniques and methods of physical oceanography; and the general features of the main ocean circulations, as well as the circulation and character of the water masses in the individual oceans. The final chapters examine some of the characteristics of coastal oceanography. This book will prove useful to undergraduate and graduate students with oceanography and related subjects.

This book reviews the field of physical oceanography, starting with its history and culminating in the past, present and future challenges of this scientific discipline. It introduces the different aspects of the science, and presents the observational and computational tools used by physical oceanographers. It discusses the day-to-day activities of the physical oceanographers located at universities, government laboratories and industry, and relates the physics of the ocean to such topical issues as climate change and ocean forecasting. The book also presents a review of the historical challenges for physical oceanography and an overview of some of the most important challenges facing physical oceanography today. Reading this book will prove useful to anyone wanting to better understand how the ocean fits into the complex system that makes up the global environment.