Investigating the wind–wave interaction on mean wind and turbulence structure using COAWST with WRF-LES during a storm event

Abstract. We investigate wind-wave interactions within the marine atmospheric boundary layer during a storm event over the North Sea, using a multiscale coupled modeling framework. Large eddy simulations run within the Weather Research and Forecasting model have been coupled with the Simulating WAves Nearshore model through the Coupled Ocean-Atmosphere-Wave–Sediment Transport system. The simulation consists of six nested domains, three outer mesoscale domains with horizontal grid spacings (9.9, 3.3, and 1.1 km), and three innermost large eddy simulation domains with coarse and fine horizontal grid spacings. Wind and wave outputs from both the finest mesoscale domain and the coarsest LES domain are evaluated against metocean and lidar measurements collected during the storm. The results show that the coarsest LES domain represents wind speeds up to 150 m height more accurately than the mesoscale output but due to excessive simulated vertical wind shear. Above this height, the mesoscale and LES outputs become much closer, and both tend to overestimate the wind speed. The wind direction is well captured across both domains. The significant wave height, peak wave period, and mean wave direction simulated by SWAN show better agreement with observations when forced by the LES output than the mesoscale output. Additionally, the coupled simulations exhibit stronger turbulence fluxes than the uncoupled simulations, which is clearly observed in the vertical profiles of velocity variances and covariances. These findings demonstrate the benefits of high-resolution coupled modeling for capturing offshore boundary layer dynamics and improving wind and wave predictions under severe weather conditions.

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Publication Details

Journal
Wind energy science
Published
2026-11-03
DOI
https://doi.org/10.5194/wes-11-4077-2026
Primary Topic
Ocean Waves and Remote Sensing
Type
article
Field-Weighted Citation Impact
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article

Investigating the wind–wave interaction on mean wind and turbulence structure using COAWST with WRF-LES during a storm event

Xiaoli Guo Larsén, Sima Hamzeloo, Jana Fischereit, Oscar M. Garcia-Santiago et al.
2 links
Wind energy science
Ocean Waves and Remote Sensing
article

Investigating the wind–wave interaction on mean wind and turbulence structure using COAWST with WRF-LES during a storm event

Xiaoli Guo Larsén, Sima Hamzeloo, Jana Fischereit, Oscar M. Garcia-Santiago, Alfredo Peña
article en

Abstract

Abstract. We investigate wind-wave interactions within the marine atmospheric boundary layer during a storm event over the North Sea, using a multiscale coupled modeling framework. Large eddy simulations run within the Weather Research and Forecasting model have been coupled with the Simulating WAves Nearshore model through the Coupled Ocean-Atmosphere-Wave–Sediment Transport system. The simulation consists of six nested domains, three outer mesoscale domains with horizontal grid spacings (9.9, 3.3, and 1.1 km), and three innermost large eddy simulation domains with coarse and fine horizontal grid spacings. Wind and wave outputs from both the finest mesoscale domain and the coarsest LES domain are evaluated against metocean and lidar measurements collected during the storm. The results show that the coarsest LES domain represents wind speeds up to 150 m height more accurately than the mesoscale output but due to excessive simulated vertical wind shear. Above this height, the mesoscale and LES outputs become much closer, and both tend to overestimate the wind speed. The wind direction is well captured across both domains. The significant wave height, peak wave period, and mean wave direction simulated by SWAN show better agreement with observations when forced by the LES output than the mesoscale output. Additionally, the coupled simulations exhibit stronger turbulence fluxes than the uncoupled simulations, which is clearly observed in the vertical profiles of velocity variances and covariances. These findings demonstrate the benefits of high-resolution coupled modeling for capturing offshore boundary layer dynamics and improving wind and wave predictions under severe weather conditions.

Wind energy scienceVol. 11(11)
Technical University of Denmark (DK)
Danmarks Frie Forskningsfond, HORIZON EUROPE Framework Programme
Climate action
Openalex Percentile: Top 96%
Ocean Waves and Remote Sensing
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