Details of Grant 

EPSRC Reference:	GR/R60881/01
Title:	Data Assimilation into 2D and 3D Adjoint Inverse Coastal Circulation Models that Conform to Topography
Principal Investigator:	Copeland, Dr G
Other Investigators:	Goddard, Professor AJ Pain, Professor CC
Researcher Co-Investigators:	Professor A Retik
Project Partners:	RH Cuthbertson & Partners Shell
Department:	Civil and Environmental Engineering
Organisation:	University of Strathclyde
Scheme:	Standard Research (Pre-FEC)
Starts:	28 January 2002	Ends:	27 February 2005	Value (£):	168,265
EPSRC Research Topic Classifications:	Coastal & Waterway Engineering
EPSRC Industrial Sector Classifications:	Information Technologies
Related Grants:
Panel History:
Summary on Grant Application Form
The proposed project seeks to improve significantly coastal circulation models used in civil engineering practice, based upon a newly developed 3D selfadaptive, feature conforming non-hydrostatic ocean model. Data assimilation methods, in 2D and in 3D, will allow both for the development of flow separation features and for the solution to be influenced by observations. The 2D numerical mesh will conform to topographic features and adapt to flow features that develop within the domain so providing locally improved resolution. It will also include flooding and drying. The use of the adjoint inverse method will produce a model that is self-calibrating in the sense that boundary conditions are objectively adjusted for optimum agreement with data provided within the model domain. A 3D adjoint model option will be developed, using existing parallel solvers, and investigated to highlight flow regimes where 3D is important. It is intended that the 2D model will run on a single workstation or p.c. (but with parallel DDM solution if required) so that it has the potential for immediate transfer to industry. There will be emphasis on visualisation of the results for 'customers', providing both Eulerian views of the unsteady flow and fly-though Lagrangian views. We believe that the proposed project is world leading. There is no similar work being undertaken in the UK and after discussions with US colleagues we understand that this is at the 'cutting edge' of developments in the field. Our idea of developing an inverse self-adaptive coastal ocean model, designed to assimilate HF radar and ADCP data properly has been greeted with enthusiasm. It is not a minor undertaking, but it does seem to have huge potential.
Key Findings
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Organisation Website:	http://www.strath.ac.uk