Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics - Annalisa Griffa et al [Seduction28]

"...a diverse and frequently illuminating statement of our current understanding of Lagrangian processes in the ocean. ...the changes in perspective, for example, among the three chapters treating assimilation, are in themselves useful. Those attending LAPCOD meetings are struck by the energy and diversity of the participants and their dedication to this unusual study. The book captures that feeling. It will certainly be useful to anyone interested in Lagrangian dynamics, modeling, or experiments."

- Joseph H. LaCasce, Oceanography


"I would recommend this book as a library reference book or a reference book for someone whose expertise is studying Lagrangian processes in the ocean. ... The first two chapters...provide a good introduction to Lagrangian platforms at a level that is appropriate for all oceanographers. The following chapter on 'Favorite Trajectories' was a pleasure to read...."

- Dave Hebert, Bulletin of the American Meteorological Society


"The material presented in this book should be eminently accessible to a large number of readers, including graduate students and advanced undergraduates with a reasonable background in analysis and statistics. Because of the significance of the subject matter and the clarity of the exposition, this book likely will become a standard reference in the near future."

- Reza Malek-Madani, EOS


"The present collection not only includes contributions from world class experts on Lagrangian transport in the sea, but has been well designed and structured to give a timely and needed overall account of the topic."

- Maurizio Brocchini, Mathematical Reviews


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 modelling, and data assimilation.