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Hindcast of dynamic processes of the ocean and coastal areas of europe

Objective

Problem to be solved:
Collection of long-term information on prevailing environmental conditions to assess the climate and plan the sustainable development of economic activities in European waters.

Scientific objectives and approach:
The objective is to obtain a 40-year hindcast of wind, wave, sea-level and current climatology for European waters and coastal seas for application in coastal and environmental decision processes. The initial work is to produce the atmospheric data that will serve as forcing to the circulation and wave models. To describe the small-scale atmospheric response three regional climate models will be forced with the large scale 40 years NCEP-reanalysis. The data are provided on a 50 x 50 km grid and will be used in the project to force the wave and ocean models.

Circulation models will be used in the North Sea, the North East Atlantic south of UK, including Azores and Canary Islands, and the Mediterranean sea. Wave models will be used in those areas and also in the Irish Sea. The predictions will be made with a typical horizontal resolution of 10km and temporal resolution of 3 hours. The wave models that will be used in the project are based on the last version of WAM, which will be used with nested grids in order to produce high-resolution information in coastal waters. In the North Sea this model will take into account tidal changes that will influence wave predictions. Altimeter data from ERS1, ERS2 and Topex-Poseidon will be sorted in order to collect the available remotely sensed data including wind, wave, sea-level, storm surge and ice-sea measurements for same areas for which hindcasts are being made.

Whenever the hindcast and remote sensed data are available they will be compared in order to assess the level of uncertainty involved in using the different type of data. Statistical analysis will be performed in order to extract several important long term characteristics of the data, concerning mean tendencies, variability and extremes. Finally the data will be organised in digital and paper form so as to make it easy to disseminate by the appropriate parties.

Expected impact:
The atlas of met-ocean data will serve offshore industries, fisheries, shipping companies and the insurance business. The methodology, the dataset and the derived statistics for selected European coastal seas will provide a prototype of a technology which is applicable to European coastal seas in general.

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

INSTITUTO SUPERIOR TECNICO
Address
1,Av. Rovisco Pais 1
1049 Lisboa
Portugal

Participants (6)

ENTE PUBLICO PUERTOS DEL ESTADO
Spain
Address
81,Antonio Lopez 81
28026 Madrid
GKSS - FORSCHUNGSZENTRUM GEESTHACHT GMBH
Germany
Address
Max-planck-strasse
21502 Geesthacht
INSTITUTE OF OCEANOLOGY - BULGARIAN ACADEMY OF SCIENCES
Bulgaria
Address
Parvi Maj 40
9000 Varna
SCOP METEOMER SARL
France
Address
7,Route Nationale 7 - La Tuiliere
83480 Puget-sur-argens
UNIVERSITY COLLEGE CORK, NATIONAL UNIVERSITY OF IRELAND, CORK
Ireland
Address
Western Road, Presentation Building
30 Cork
UNIVERSITY OF GDANSK
Poland
Address
Al. Pilsudskiego 46
81 378 Gdynia