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Resourcecode: A high-resolution wave parameter dataset for the European Shelf and analysis toolbox

Authors: Raillard, Nicolas; Maisondieu, Christophe; Germain, Gregory;

Resourcecode: A high-resolution wave parameter dataset for the European Shelf and analysis toolbox

Abstract

The RESOURCECODE project has delivered an hindcast database and a dedicated analysis toolbox to the Marine Renewables Industry to allow developers of ocean energy devices to make optimised technical and commercial decisions. The project successfully brought together an international consortium of SMEs, Marine Renewable Energy (MRE) test sites and established academic partners. RESOURCECODE delivered a 27-years hindcast database, covering the coastal waters of France, Ireland and the United Kingdom. This high-resolution wave, wind and current data has been validated using partner’s data: existing models, and test sites owned in-situ monitoring data sets as well as satellite and public buoy data. Analysis tools have been developed to provide cutting-edge statistical methods for the analysis of these data sets. Tools specifications were identified and developed through dedicated market studies, guided by a number of potential users offering a broad reflection of the industry as a whole.

The ResourceCODE project has received support under the framework of the OCEANERA-NET COFUND project, with funding provided by nationaland regional sources and co-funding by the European Union's Horizon 2020 research and innovation program.

Country
France
Keywords

hindcast, sea-state, Marine renewable energy, Python toolbox, Statistical modeling

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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