Data Analysis Methods in Physical Oceanography

Data Analysis Methods in Physical Oceanography, Fourth 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 significantly revised Fourth 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. Other newer data analysis methods have also been included in the revision of this popular textbook. Data Analysis Methods in Physical Oceanography brings together the relevant techniques and references recent papers where these techniques have been trialed. It also presents valuable examples using physical oceanography data. For students, the sections on Data Acquisition are useful for a compilation of all the measurement methods. Co-authored by scientists from academia and industry, both of whom have more than 30 years of experience in oceanographic research and field work Boxed worked examples to address typical data analysis problems including examples with computer code (e.g. python code, Matlab code) Now including brief summaries at the end of the more difficult sections, to help with the readers looking for foundational information