Data Analysis Methods in Physical Oceanography Book

Data Analysis Methods in Physical Oceanography


  • Author : Richard E. Thomson
  • Publisher : Elsevier
  • Release Date : 2001-04-03
  • Genre: Science
  • Pages : 654
  • ISBN 10 : 9780080477008

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Data Analysis Methods in Physical Oceanography Excerpt :

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. 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 five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals. The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical 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 geoph

Data Analysis Methods in Physical Oceanography Book

Data Analysis Methods in Physical Oceanography


  • Author : Richard E. Thomson
  • Publisher : Elsevier Science
  • Release Date : 2014-07-28
  • Genre: SCIENCE
  • Pages : 716
  • ISBN 10 : 0123877822

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Data Analysis Methods in Physical Oceanography Excerpt :

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 Book

Data Analysis Methods in Physical Oceanography


  • Author : Richard E. Thomson
  • Publisher : Elsevier Science
  • Release Date : 2023-05-01
  • Genre: Science
  • Pages : 0
  • ISBN 10 : 0323917232

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Data Analysis Methods in Physical Oceanography Excerpt :

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.

Data Analysis Methods in Physical Oceanography Book
Score: 5
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Data Analysis Methods in Physical Oceanography


  • Author : William J. Emery
  • Publisher : Elsevier
  • Release Date : 2001
  • Genre: Science
  • Pages : 655
  • ISBN 10 : 9780444507563

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Data Analysis Methods in Physical Oceanography Excerpt :

Data Analysis Methods in Physical Oceanography is a practical reference guide to established and modern data analysis techniques in earth and ocean sciences. 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 five major chapters of the book cover data acquisition and recording, data processing and presentation, statistical methods and error handling, analysis of spatial data fields, and time series analysis methods. Chapter 5 on time series analysis is a book in itself, spanning a wide diversity of topics from stochastic processes and stationarity, coherence functions, Fourier analysis, tidal harmonic analysis, spectral and cross-spectral analysis, wavelet and other related methods for processing nonstationary data series, digital filters, and fractals. The seven appendices include unit conversions, approximation methods and nondimensional numbers used in geophysical fluid dynamics, presentations on convolution, statistical terminology, and distribution functions, and a number of important statistical 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 geoph

Oceanographic Analysis with R Book

Oceanographic Analysis with R


  • Author : Dan E. Kelley
  • Publisher : Springer
  • Release Date : 2018-10-17
  • Genre: Medical
  • Pages : 290
  • ISBN 10 : 9781493988440

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Oceanographic Analysis with R Excerpt :

This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the ‘oce’ package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.

Modeling Methods for Marine Science Book

Modeling Methods for Marine Science


  • Author : David M. Glover
  • Publisher : Cambridge University Press
  • Release Date : 2011-06-02
  • Genre: Science
  • Pages : null
  • ISBN 10 : 9781139500715

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Modeling Methods for Marine Science Excerpt :

This advanced textbook on modeling, data analysis and numerical techniques for marine science has been developed from a course taught by the authors for many years at the Woods Hole Oceanographic Institute. The first part covers statistics: singular value decomposition, error propagation, least squares regression, principal component analysis, time series analysis and objective interpolation. The second part deals with modeling techniques: finite differences, stability analysis and optimization. The third part describes case studies of actual ocean models of ever increasing dimensionality and complexity, starting with zero-dimensional models and finishing with three-dimensional general circulation models. Throughout the book hands-on computational examples are introduced using the MATLAB programming language and the principles of scientific visualization are emphasised. Ideal as a textbook for advanced students of oceanography on courses in data analysis and numerical modeling, the book is also an invaluable resource for a broad range of scientists undertaking modeling in chemical, biological, geological and physical oceanography.

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering Book

Quantitative Methods of Data Analysis for the Physical Sciences and Engineering


  • Author : Douglas G. Martinson
  • Publisher : Cambridge University Press
  • Release Date : 2018-09-20
  • Genre: Computers
  • Pages : 631
  • ISBN 10 : 9781107029767

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Quantitative Methods of Data Analysis for the Physical Sciences and Engineering Excerpt :

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Data Analysis Methods in Physical Oceanography Book

Data Analysis Methods in Physical Oceanography


  • Author : Richard E. Thomson
  • Publisher : Newnes
  • Release Date : 2014-07-14
  • Genre: Science
  • Pages : 728
  • ISBN 10 : 9780123877833

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Data Analysis Methods in Physical Oceanography Excerpt :

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

Time Series Data Analysis in Oceanography Book

Time Series Data Analysis in Oceanography


  • Author : Chunyan Li (Oceanographer)
  • Publisher : Unknown
  • Release Date : 2022
  • Genre: SCIENCE
  • Pages : null
  • ISBN 10 : 1108697100

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Time Series Data Analysis in Oceanography Excerpt :

"In this introductory chapter, we briefly go over the definitions of terms and tools we need for data analysis. Among the tools, MATLAB is the software package to use. The other tools are mathematics. Although many of the mathematics are not absolutely required before using the book, a person with a background in relevant mathematics will always be better positioned with insight to learn the data analysis skills for real applications"--

Statistics and Physical Oceanography Book

Statistics and Physical Oceanography


  • Author : National Research Council (U.S.). Committee on Applied and Theoretical Statistics. Panel on Statistics and Oceanography
  • Publisher : National Academies
  • Release Date : 1993
  • Genre: Oceanography
  • Pages : 62
  • ISBN 10 : NAP:00218

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Statistics and Physical Oceanography Excerpt :

Physical Oceanography of the Adriatic Sea Book

Physical Oceanography of the Adriatic Sea


  • Author : Benoit Cushman-Roisin
  • Publisher : Springer Science & Business Media
  • Release Date : 2013-06-29
  • Genre: Science
  • Pages : 304
  • ISBN 10 : 9789401598194

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Physical Oceanography of the Adriatic Sea Excerpt :

Because of its centrallocation in the Old World, the Adriatic Sea has long been explored and studied. Modern methods of investigation, however, have accelerated the pace of study during the last decade. These are the ADCP currentmeter, satellite imagery, drifter technology, and, last but not least, the computer with its arsenal of tools for data analysis and model simulations. As a result of this renaissance, the Adriatic Sea and its sub-basins are currently the object of intensified scrutiny by a number of scientific teams, in Europe and be yond. Questions concerning the mesoscale variability that dominates regional motions, the seasonal circulation of the sea, and its long-term climatic role in the broader Mediterranean, have become topics of lively discussions. The time was ripe then when an international workshop dedicated to the physical oceanography of the Adriatic Sea was convened in Trieste on 21-25 September 1998. Its objectives were to assess the current knowledge of the oceanography of the Adriatic Sea, to review the newly acquired observations, to create syn ergy between model simulations and observations, and to identify directions for future Adriatic oceanography. This book, however,is not the mere proceedings of the workshop. It was written as a monograph synthetizing the current knowledge of the physical oceanography of the Adriatic Sea, with the hope that it will serve as a reference to anyone interested in the Adriatic. The book also identifies topics in need of additional inquiry and proposes research directions for the next decade.

Nonlinear Physical Oceanography Book

Nonlinear Physical Oceanography


  • Author : Henk A. Dijkstra
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-07-16
  • Genre: Science
  • Pages : 532
  • ISBN 10 : 9781402022630

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Nonlinear Physical Oceanography Excerpt :

Taken from a review of the first edition in SIAM: "This text is different from most others in that it combines several different disciplines and draws on many scientific studies in order to deduce mechanisms of ocean circulation. (...) Therefore (it) cannot be substituted, and (...) it meets its unique goals with clarity and thoroughness".

Statistical Analysis in Climate Research Book

Statistical Analysis in Climate Research


  • Author : Hans von Storch
  • Publisher : Cambridge University Press
  • Release Date : 2002-02-21
  • Genre: Science
  • Pages : null
  • ISBN 10 : 9781139425094

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Statistical Analysis in Climate Research Excerpt :

Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.

Statistical and Machine Learning Data Mining  Book

Statistical and Machine Learning Data Mining


  • Author : Bruce Ratner
  • Publisher : CRC Press
  • Release Date : 2017-07-12
  • Genre: Computers
  • Pages : 849
  • ISBN 10 : 9781351652384

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Statistical and Machine Learning Data Mining Excerpt :

Interest in predictive analytics of big data has grown exponentially in the four years since the publication of Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition. In the third edition of this bestseller, the author has completely revised, reorganized, and repositioned the original chapters and produced 13 new chapters of creative and useful machine-learning data mining techniques. In sum, the 43 chapters of simple yet insightful quantitative techniques make this book unique in the field of data mining literature. What is new in the Third Edition: The current chapters have been completely rewritten. The core content has been extended with strategies and methods for problems drawn from the top predictive analytics conference and statistical modeling workshops. Adds thirteen new chapters including coverage of data science and its rise, market share estimation, share of wallet modeling without survey data, latent market segmentation, statistical regression modeling that deals with incomplete data, decile analysis assessment in terms of the predictive power of the data, and a user-friendly version of text mining, not requiring an advanced background in natural language processing (NLP). Includes SAS subroutines which can be easily converted to other languages. As in the previous edition, this book offers detailed background, discussion, and illustration of specific methods for solving the most commonly experienced problems in predictive modeling and analysis of big data. The author addresses each methodology and assigns its application to a specific type of problem. To better ground readers, the book provides an in-depth discussion of the basic methodologies of predictive modeling and analysis. While this type of overview has been attempted before, this approach offers a truly nitty-gritty, step-by-step method that both tyros and experts in the field can enjoy playing with.

50 Years of Ocean Discovery Book

50 Years of Ocean Discovery


  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 2000-01-03
  • Genre: Science
  • Pages : 276
  • ISBN 10 : 0309172578

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50 Years of Ocean Discovery Excerpt :

This book describes the development of ocean sciences over the past 50 years, highlighting the contributions of the National Science Foundation (NSF) to the field's progress. Many of the individuals who participated in the exciting discoveries in biological oceanography, chemical oceanography, physical oceanography, and marine geology and geophysics describe in the book how the discoveries were made possible by combinations of insightful individuals, new technology, and in some cases, serendipity. In addition to describing the advance of ocean science, the book examines the institutional structures and technology that made the advances possible and presents visions of the field's future. This book is the first-ever documentation of the history of NSF’s Division of Ocean Sciences, how the structure of the division evolved to its present form, and the individuals who have been responsible for ocean sciences at NSF as “rotators†and career staff over the past 50 years.