Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and
other ocean velocity data such as from altimetry. In the Lagrangian approach, large sets of …

Typical fluid particle trajectories are sensitive to changes in their initial conditions. This
makes the assessment of flow models and observations from individual tracer samples …

Lyapunov exponents lie at the heart of chaos theory, and are widely used in studies of
complex dynamics. Utilising a pragmatic, physical approach, this self-contained book …

A common dynamical paradigm is that turbulence in the upper ocean is dominated by three
classes of motion: mesoscale geostrophic eddies, internal waves and microscale three …

Coherent Lagrangian (material) structures are ubiquitous in unsteady fluid flows, often
observable indirectly from tracer patterns they create, for example, in the atmosphere and …

Fertilization of the ocean by adding iron compounds has induced diatom-dominated
phytoplankton blooms accompanied by considerable carbon dioxide drawdown in the …

Chaos: from simple models to complex systems aims to guide science and engineering
students through chaos and nonlinear dynamics from classical examples to the most recent …

The ocean is the largest solar energy collector on Earth. The amount of heat it can store is
modulated by its complex circulation, which spans a broad range of spatial scales, from …

This paper provides a concise review of the remote sensing of ocean fronts in marine
ecology and fisheries, with a particular focus on the most popular front detection algorithms …

Surface drifting buoys, or drifters, are used in oceanographic and climate research, oil spill
tracking, weather forecasting, search and rescue operations, calibration and validation of …