4.4 Review

Review of Wind-Wave Coupling Models for Large-Eddy Simulation of the Marine Atmospheric Boundary Layer

Journal

JOURNAL OF THE ATMOSPHERIC SCIENCES
Volume 78, Issue 10, Pages 3025-3045

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/JAS-D-21-0003.1

Keywords

Wind waves; Marine boundary layer; Large-eddy simulations; Atmosphere-ocean interaction; Parameterization; Renewable energy

Funding

  1. U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
  2. U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind Energy Technologies Office
  3. DOE Office of Energy Efficiency and Renewable Energy

Ask authors/readers for more resources

This review article discusses existing wind-wave coupling models and parameterizations for large-eddy simulation of the marine atmospheric boundary layer. The models are categorized into wave-phase-averaged and wave-phase-resolved models, and their implementation, validity, and computational efficiency are discussed. Emphasis is placed on their applicability in offshore wind energy problems, with a review of laboratory-scale and field-measurement databases for model validation provided. Knowledge gaps in modeling and computational challenges ahead are also addressed.
We present a review of existing wind-wave coupling models and parameterizations used for large-eddy simulation of the marine atmospheric boundary layer. The models are classified into two main categories: (i) the wave-phase-averaged, sea surface-roughness models and (ii) the wave-phase-resolved models. Both categories are discussed from their implementation, validity, and computational efficiency viewpoints, with emphasis given on their applicability in offshore wind energy problems. In addition to the various models discussed, a review of laboratory-scale and field-measurement databases is presented thereafter. The majority of the presented data have been gathered over many decades of studying air-sea interaction phenomena, with the most recent ones compiled to reflect an offshore wind energy perspective. Both provide valuable data for model validation. We also discuss the modeling knowledge gaps and computational challenges ahead.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available