2020
DOI: 10.3390/atmos11040327
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Impact of Air–Wave–Sea Coupling on the Simulation of Offshore Wind and Wave Energy Potentials

Abstract: Offshore wind and wave energy potentials are commonly simulated by atmosphere and wave stand-alone models, in which the Atmosphere–Wave–Ocean (AWO) dynamical coupling processes are neglected. Based on four experiments (simulated by UU-CM, Uppsala University-Coupled model) with four different coupling configurations between atmosphere, waves, and ocean, we found that the simulations of the wind power density (WPD) and wave potential energy (WPE) are sensitive to the AWO interaction processes over the North and … Show more

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Cited by 21 publications
(23 citation statements)
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“…A positive value indicates that the air‐side stress obtained from WW3 is higher than that from WRF, and vice versa. In the Baltic Sea, the wind has a significant annual pattern with high winds in winter months and low winds in summer months (Wu et al., 2020). Here, the data from January and July are used to explore the relative difference between τaWW3 and τaWRF.…”
Section: Discussionmentioning
confidence: 99%
“…A positive value indicates that the air‐side stress obtained from WW3 is higher than that from WRF, and vice versa. In the Baltic Sea, the wind has a significant annual pattern with high winds in winter months and low winds in summer months (Wu et al., 2020). Here, the data from January and July are used to explore the relative difference between τaWW3 and τaWRF.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, collinear-direction wind and wave are adopted in present simulations. However, especially during typhoon, storm, tsunami, or other catastrophic instances in the oceans [52], some scenarios exist in which the wind and waves are in non-collinear or even opposite directions. It is worth being investigated in future works.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…From a meteorological perspective, the proximity to the coast for large semi-enclosed basins creates special mesoscale conditions, which can cause deviations from a normally assumed logarithmic or power-law wind profile [12]. To a greater or lesser extent, mesoscale phenomena such as sea breezes, low-level jets (LLJs), boundary layer rolls, and air-sea energy transfer all influence the wind conditions (e.g., [13][14][15]). In order to use reanalysis data or other similar products for wind power investigations over large inland seas, it is important to investigate to what extent the datasets represent mesoscale phenomena.…”
Section: Introductionmentioning
confidence: 99%