R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs.

This book presents a series of high level lectures on the major categories of ocean/atmosphere processes.

The 10th edition of this popular book continues to provide an excellent foundation in science by examining the vast body of oceanic knowledge.

Social science, such as law and economics, are also included. I have used both metric and English measurements throughout the text, and have defined new terms when they are first used.

The revised Third Edition updates the instrumentation used to collect and analyze physical oceanic data and adds new techniques including Kalman Filtering.

A systematic introduction to the mathematics oceanographers need Topics covered in Mathematical Methods for Oceanographers include: A review of the necessary calculus Model I linear regression Correlation analysis Model II linear regression ...

This book deals with every aspect of oceanography in detail including various aspects of physical, chemical, geological, and biological discourse. ‘Earth and Planetary Science’ is perhaps the oldest, dynamic, and ever-evolving subject.

The book comprises chapters covering distinct aspects of contrasting ocean currents: broad and slow, deep and shallow, narrow and swift, large scale and small scale, low latitudes and high latitudes, and moving in horizontal and vertical ...

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.