Data Analysis Methods in Physical Oceanography: Fourth Edition - Softcover

Thomson, Richard E.; Emery, William J.

Softcover

ISBN 10: 0323917232 ISBN 13: 9780323917230

Publisher: Elsevier Science, 2024

Synopsis

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

About this title

About the Authors

Richard E. Thomson is a researcher in coastal and deep-sea physical oceanography within the Ocean Sciences Division. Coastal oceanographic processes on the continental shelf and slope including coastally trapped waves, upwelling and baroclinic instability; hydrothermal venting and the physics of buoyant plumes; linkage between circulation and zooplankton biomass aggregations at hydrothermal venting sites; analysis and modelling of landslide generated tsunamis; paleoclimate using tree ring records and sediment cores from coastal inlets and basins.

William (Bill) Emery worked as a professor in Aerospace Engineering Sciences at the University of Colorado from 1987, prior to which he worked in the University of British Columbia where he created a Satellite Oceanography education/research program. He has authored over 220-refereed publications and 4 textbooks in addition to having given 200 conference papers. He is a fellow of: the IEEE (2002), the American Meteorological Society (2010), the American Astronautical Society (2011) and the American Geophysical Union (2012). He was recently elected to the IEEE TAB Hall of Honor (2020). In 2022 he received the GRSS Fawaz Ulaby Distinguised Achievement Award.

From the Back Cover

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.

Edition details

• Publisher: Elsevier Science
• Publication date: 2024
• Language: English
• ISBN 10: 0323917232
• ISBN 13: 9780323917230
• Binding: Paperback
• Edition number: 4
• Number of pages: 890