The Ocean Circulation Inverse Problem

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.