Data underlying the publication: The ECHOWAVE Hindcast: A 30-years high resolution database for wave energy applications in North Atlantic European waters

doi:10.4121/f359cd0f-d135-416c-9118-e79dccba57b9.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/f359cd0f-d135-416c-9118-e79dccba57b9
Datacite citation style:
Alday, Matias; Lavidas, George (2024): Data underlying the publication: The ECHOWAVE Hindcast: A 30-years high resolution database for wave energy applications in North Atlantic European waters. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f359cd0f-d135-416c-9118-e79dccba57b9.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Delft University of Technology logo
geolocation
Atlantic Coastlines
lat (N): 36 to 61
lon (E): -12 to10
time coverage
1990-2021

ECHOWAVE is the acronym used for European COasts High Resolution Ocean WAVEs Hindcast. The dataset was developed using WAVEWATCH III and has a resolution of approximately 2Km with a duration from 1990-2021 at hourly (1-hr) intervals. The coverage are the European Atlantic coastlines.

The model employed a 2-way nesting multi-grid scheme to progressively increase spatial resolution closer to the coast (to about 2.3 km). The hindcast generation was designed specially to provide reliable sea states’ characterization for wave energy applications. Primarily, to reduce uncertainties in the wave resource estimation within European coastal waters. In this sense, there are 3 main characteristics from this dataset to highlight.

(1) All physical parameterizations adjustments are applied to improve the performance within the North-East Atlantic. This approach allowed to reduce the bias for a wide range of wave heights in the area of interest (compared to existing datasets).

(2) Adjustments’ verification and extensive validation is done using the latest ESA Sea State CCI V3 altimeter dataset, which is adequate for coastal applications.

(3) High resolution within coastal areas, for depths ≤200 m, allows for a detailed characterization of the wave resource at nearshore and coastal areas.

history
  • 2024-10-03 first online, published, posted
publisher
4TU.ResearchData
format
netCDF
funding
  • European Scalable Complementary Offshore Renewable Energy Sources (EU-SCORES) (grant code 101036457) [more info...] Horizon 2020
organizations
TU Delft, Faculty of Civil Engineering & Geosciences, Department of Hydraulic Engineering, Section Offshore Engineering, Marine Renewable Energies Lab

DATA

files (1)