Aims to improve scientific knowledge and understanding of the development and downwearing of shore platforms and of the relationships between shore platform change and the rates of retreat of sea cliffs on the landward side of the platforms.

Concentrating on the understanding of Arctic Ocean variability and change including sea ice processes.

Centralised depository of European Sea Level Data.

"An International Partnership in Geological Oceanography" -- Texas A&M University

The overall aim of the NERC CCMS "COIN" project is to improve the understanding of the active processes in coastal and shelf seas and their essential interactions, thereby enabling the development of coupled models for forecasting and management into the next century.

The World Ocean Circulation Experiment (WOCE) is a component of the World Climate Research Program (WCRP) and is the most ambitious oceanographic experiment undertaken to-date.

PROMISE's objectives are to develop a framework in which to optimise the application of existing pre-operational dynamical models of the North Sea and to quantify sediment exchange rates and scales between coast and the near-shore. PROMISE is an EU-RTD Project.

PROVESS is a joint European MAST III funded interdisciplinary study of vertical fluxes of properties through the water column and the surface and bottom boundaries based on the integrated application of new measuring techniques, new advances in turbulence theory and new models.

The EC MAST III project is centered on an important and recently discovered genus of marine photosynthetic microorganism: Prochlorococcus. This prokaryote proliferates in oligotrophic areas, including the Mediterranean and Red Seas, and is the tiniest and numerically the most abundant photosynthetic organism and accounts for a large part (up to 50%) of the photosynthetic biomass and primary production in these areas.

The aim of this study is relate changes in the properties of the water column and associated sucessions in the phytoplankton with changes in optical properties and ocean colour. Models based on these relationships will be developed and validated. These models will facilitate the interpretation of measurements of ocean colour (remote or in-situ) in terms of the temporal and spatial structures of phytoplankton communities.