1. Develop and test a coupled physics-ecosystem model capable of simulating the global coastal-ocean on a ~10 km scale. The model system will encapsulates the essential processes active in shelf seas in a computationally efficient manner and be capable to two-way coupling with a climate GCM. The aim being for a system that uses similar resources (per area) to a high-resolution GCM. 2. Develop techniques for verifying such a system against a range of Earth Observation and in-situ measurements Model verification is key for such a system and we aim to verify the system against a range of physical oceanographic parameters, and set up procedures for verifying the biogeochemical parameters. 3. Provide error quantified estimates of the shelf seas contribution to the global CO2 budget. Model simulations have a unique capability for calculating balanced budgets, we shall apply this to making a first model estimate of global shelf seas carbon budgets. 4. Develop the information systems for supplying such a model with all necessary forcing data (from global ocean GCMs, atmospheric models, river flow data bases and satellite remote sensing) and data basing the output The information required to for a model system such as this comes from a wide range of sources and formats, our aim is to develop system for accessing it in a systematic fashion 5. Develop the capability for running such a model on the UK Grid We shall utilize grid based computing to provide sufficient computer resources for this disparate system 6. Develop techniques for systematically applying geographically dependent parameterizations to the model system. There are a number of processes that are not amenable to direct, spatially resolved simulation. We will develop systems for incorporating these in a systematic fashion.