EGU26-11072, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-11072
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 05 May, 09:55–10:05 (CEST)
 
Room L2
High-Resolution Wave Climate Projections along the European Atlantic Coast Based on Downscaled CMIP6 Wind Forcing
Beatriz Arguilé-Pérez1, Xurxo Costoya2, Américo S. Ribeiro3, Maite deCastro4, Pablo Carracedo5, and Moncho Gómez-Gesteira6
Beatriz Arguilé-Pérez et al.
  • 1University of Vigo, Ourense, Spain (beatriz.arguile.perez@uvigo.es)
  • 2University of Vigo, Ourense, Spain (xurxocostoya@uvigo.es)
  • 3University of Aveiro, Aveiro, Portugal (americosribeiro@ua.pt)
  • 4University of Vigo, Ourense, Spain (mdecastro@uvigo.es)
  • 5Consellería de Medio Ambiente e Cambio Climático, Santiago de Compostela, Spain (pablo.enrique.carracedo.garcia@xunta.gal)
  • 6University of Vigo, Ourense, Spain (mggesteira@uvigo.es)

Reliable projections of future wave climate are vital for coastal adaptation, infrastructure planning, and marine renewable energy development. This study introduces a high-resolution spectral wave dataset for the European Atlantic coast, produced through regional downscaling of CMIP6-based climate projections. The dataset was developed using the WRF atmospheric model in combination with two spectral wave models, WAVEWATCH III (WW3) and Simulating WAves Nearshore (SWAN), to generate 3-hourly directional wave spectra at 1,031 offshore locations, spaced at 10 km intervals and situated approximately 50 km from the coastline. The simulations encompass three 30-year periods: a historical baseline (1985–2014) and two future time slices (2030–2059) under the SSP2-4.5 and SSP5-8.5 scenarios. Two datasets are provided: spectral energy densities and integrated wave parameters, both validated and formatted in CF-1.8-compliant NetCDF-4 files. The spectral dataset enables the initialization of new SWAN simulations, facilitating efficient site-specific wave modeling, while the integrated parameters support regional-scale analyses of climate change impacts on wave conditions. The dataset is publicly accessible via the Centre for Environmental Data Analysis (CEDA) repository and constitutes a valuable resource for research, engineering applications, and policy-making in coastal and marine environments.

How to cite: Arguilé-Pérez, B., Costoya, X., Ribeiro, A. S., deCastro, M., Carracedo, P., and Gómez-Gesteira, M.: High-Resolution Wave Climate Projections along the European Atlantic Coast Based on Downscaled CMIP6 Wind Forcing, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11072, https://doi.org/10.5194/egusphere-egu26-11072, 2026.