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, 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 dataCo-authored by scientists from academe and industry, both of whom have more than 30 years of experience in oceanographic research and field workSignificant revision of sections covering spectral, wavelet, and harmonic analysis techniquesExamples address typical data analysis problems yet provide the reader with formulaic recipes for working with their own dataSignificant expansion to 350 figures, illustrations, diagrams and photos"