Description
The movement of oceanic water has important consequences for a variety of applications, such as climate change, sealevel change, biological productivity, weather forecasting, and many others. This book addresses the problem of inferring the state of the ocean circulation, understanding it dynamically, and even forecasting it through a quantitative combination of theory and observation. It focuses on so-called inverse methods and related methods of statistical inference. Both time-independent and time-dependent problems are considered, including Gauss-Markov estimation, sequential estimators, and adjoint/Pontryagin principle methods. This book is intended for use as a graduate-level text for students of oceanography and other related fields. It will also be of interest to working physical oceanographers.