Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics [Paperback]

A review of Lagrangian techniques for researchers and graduate students in physical systems and biological modelling.Written by international experts in their field, this book is a review of Lagrangian observation, analysis and assimilation methods in physical and biological oceanography. It will be of great interest to researchers and graduate students looking for information on transport and dispersion in physical systems, biological modeling, and data assimilation.Written by international experts in their field, this book is a review of Lagrangian observation, analysis and assimilation methods in physical and biological oceanography. It will be of great interest to researchers and graduate students looking for information on transport and dispersion in physical systems, biological modeling, and data assimilation.Written by a group of international experts in their field, this book is a review of Lagrangian observation, analysis and assimilation methods in physical and biological oceanography. This multidisciplinary text presents new results on nonlinear analysis of Lagrangian dynamics, the prediction of particle trajectories, and Lagrangian stochastic models. It includes historical information, up-to-date developments, and speculation on future developments in Lagrangian-based observations, analysis, and modeling of physical and biological systems. Containing contributions from experimentalists, theoreticians, and modelers in the fields of physical oceanography, marine biology, mathematics, and meteorology, this book will be of great interest to researchers and graduate students looking for both practical applications and information on the theory of transport and dispersion in physical systems, biological modeling, and data assimilation.Preface; 1. Evolution of Lagrangian methods in oceanography H. Thomas Rossby; 2. Measuring surface currents with Surface Velocity Program drifters: the instrument, its data, and some recent results R. Lumpkin and M. Pazos; 3. FavlS!