Université de Liège; Faculty of Sciences; Department of Astrophysics, Geophysics and Oceanography; GeoHydrodynamics and Environmental Research (GHER)
Beckers, Jean-Marie
European Commission; Fifth Framework Programme, sponsor
Abstract
Reliable forecasts of the ocean variablity provides enormous benefits on human activities related to the sea and is one of the present challenges in operational oceanography. The goal of SOFT is to develop, validate and apply an operational tool to forecast future states of the ocean based on satellite imagery. This task will be accomplished by using recent developments in non-linear time series analysis as well as artificial intelligence techniques such as genetic algorithms. In addition to its direct implementation, the tool will be used to provide synthetic data to be assimilated by numerical ocean circulation models, improving their forecasting power. Potential end-users of the output of this project include scientists, engineers, decision-markers, managers, navies and governments.
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