Articles | Volume 19, issue 10
https://doi.org/10.5194/acp-19-6681-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-6681-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 May 2019
Research article |
| 20 May 2019
| 20 May 2019
A new roughness length parameterization accounting for wind–wave (mis)alignment
Sara Porchetta
CORRESPONDING AUTHOR
KULeuven, Department Earth and Environmental Sciences, Leuven, Belgium
von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode,
Belgium
Orkun Temel
von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode,
Belgium
Domingo Muñoz-Esparza
National Center for Atmospheric Research, Boulder, Colorado, USA
Joachim Reuder
Geophysical Institute, University of Bergen, and Bjerknes Centre for Climate Research, Bergen, Norway
Jaak Monbaliu
KULeuven, Department of Civil Engineering, Leuven, Belgium
Jeroen van Beeck
von Karman Institute for Fluid Dynamics, Sint-Genesius-Rode,
Belgium
Nicole van Lipzig
KULeuven, Department Earth and Environmental Sciences, Leuven, Belgium
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Cited
23 citations as recorded by crossref.
- Improving Wave‐Based Air‐Sea Momentum Flux Parameterization in Mixed Seas C. Sauvage et al. 10.1029/2022JC019277
- Investigation of wind farm impacts on surface waves using coupled numerical simulations X. Larsén et al. 10.1016/j.renene.2024.121671
- A Dynamic Large-Scale Driving-Force to Control the Targeted Wind Speed in Large Eddy Simulations above Ocean Waves L. Paskin et al. 10.3390/atmos13122012
- A review of surface swell waves and their role in air–sea interactions L. Wu et al. 10.1016/j.ocemod.2024.102397
- A comparison of micrometeorological methods for marine roughness estimation at a coastal area Y. He et al. 10.1016/j.jweia.2019.104010
- Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms J. Fischereit et al. 10.3389/fenrg.2022.881459
- Evidence of Ocean Waves Signature in the Space–Time Turbulent Spectra of the Lower Marine Atmosphere Measured by a Scanning LiDAR L. Paskin et al. 10.3390/rs14133007
- Deep Learning‐Based Sea Surface Roughness Parameterization Scheme Improves Sea Surface Wind Forecast S. Fu et al. 10.1029/2023GL106580
- The first operations of Mo.S.E. system to prevent the flooding of Venice: Insights on the hydrodynamics of a regulated lagoon R. Mel et al. 10.1016/j.ecss.2021.107547
- Research on Optimization Method of Evaporation Duct Prediction Model Y. Cui et al. 10.3390/math12020205
- A machine learning model for reconstructing skin-friction drag over ocean surface waves K. Yousefi et al. 10.1017/jfm.2024.81
- Impact of ocean waves on offshore wind farm power production S. Porchetta et al. 10.1016/j.renene.2021.08.111
- Integrating COAWST and OpenFAST for wind turbine loading A. Vemuri et al. 10.1088/1742-6596/2767/5/052032
- Evaluation of a roughness length parametrization accounting for wind–wave alignment in a coupled atmosphere–wave model S. Porchetta et al. 10.1002/qj.3948
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al. 10.1109/JSTARS.2024.3393862
- Numerical study on the Wave Boundary Layer, its interaction with turbulence and consequences on the wind energy resource in the offshore environment L. Paskin et al. 10.1088/1742-6596/1618/6/062046
- Evaluation of sea surface roughness parameterization in meso-to-micro scale simulation of the offshore wind field X. Ning et al. 10.1016/j.jweia.2023.105592
- Saturation of Ocean Surface Wave Slopes Observed During Hurricanes J. Davis et al. 10.1029/2023GL104139
- Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy J. Wang et al. 10.1063/5.0214806
- Experimental investigation of the airflow structure above mechanically generated regular waves for both aligned and opposed wind–wave directions S. Porchetta et al. 10.1016/j.expthermflusci.2021.110578
- Joint Offshore Wind and Wave Energy Resources in the Caribbean Sea B. Bethel 10.1007/s11804-021-00231-0
- Influence of sea surface wave-dependent roughness on summer precipitation over the Southeastern United States H. Shan et al. 10.1016/j.dsr2.2022.105209
- Research on optimization method of evaporation duct prediction model based on particle swarm algorithm Y. Cui et al. 10.1088/1742-6596/2718/1/012060
23 citations as recorded by crossref.
- Improving Wave‐Based Air‐Sea Momentum Flux Parameterization in Mixed Seas C. Sauvage et al. 10.1029/2022JC019277
- Investigation of wind farm impacts on surface waves using coupled numerical simulations X. Larsén et al. 10.1016/j.renene.2024.121671
- A Dynamic Large-Scale Driving-Force to Control the Targeted Wind Speed in Large Eddy Simulations above Ocean Waves L. Paskin et al. 10.3390/atmos13122012
- A review of surface swell waves and their role in air–sea interactions L. Wu et al. 10.1016/j.ocemod.2024.102397
- A comparison of micrometeorological methods for marine roughness estimation at a coastal area Y. He et al. 10.1016/j.jweia.2019.104010
- Climatic Impacts of Wind-Wave-Wake Interactions in Offshore Wind Farms J. Fischereit et al. 10.3389/fenrg.2022.881459
- Evidence of Ocean Waves Signature in the Space–Time Turbulent Spectra of the Lower Marine Atmosphere Measured by a Scanning LiDAR L. Paskin et al. 10.3390/rs14133007
- Deep Learning‐Based Sea Surface Roughness Parameterization Scheme Improves Sea Surface Wind Forecast S. Fu et al. 10.1029/2023GL106580
- The first operations of Mo.S.E. system to prevent the flooding of Venice: Insights on the hydrodynamics of a regulated lagoon R. Mel et al. 10.1016/j.ecss.2021.107547
- Research on Optimization Method of Evaporation Duct Prediction Model Y. Cui et al. 10.3390/math12020205
- A machine learning model for reconstructing skin-friction drag over ocean surface waves K. Yousefi et al. 10.1017/jfm.2024.81
- Impact of ocean waves on offshore wind farm power production S. Porchetta et al. 10.1016/j.renene.2021.08.111
- Integrating COAWST and OpenFAST for wind turbine loading A. Vemuri et al. 10.1088/1742-6596/2767/5/052032
- Evaluation of a roughness length parametrization accounting for wind–wave alignment in a coupled atmosphere–wave model S. Porchetta et al. 10.1002/qj.3948
- Evaluation of SAR-Based Sea State Parameters and Roughness Length Derivation Over the Coastal Seas of the USA A. Owda et al. 10.1109/JSTARS.2024.3393862
- Numerical study on the Wave Boundary Layer, its interaction with turbulence and consequences on the wind energy resource in the offshore environment L. Paskin et al. 10.1088/1742-6596/1618/6/062046
- Evaluation of sea surface roughness parameterization in meso-to-micro scale simulation of the offshore wind field X. Ning et al. 10.1016/j.jweia.2023.105592
- Saturation of Ocean Surface Wave Slopes Observed During Hurricanes J. Davis et al. 10.1029/2023GL104139
- Modeling and observations of North Atlantic cyclones: Implications for U.S. Offshore wind energy J. Wang et al. 10.1063/5.0214806
- Experimental investigation of the airflow structure above mechanically generated regular waves for both aligned and opposed wind–wave directions S. Porchetta et al. 10.1016/j.expthermflusci.2021.110578
- Joint Offshore Wind and Wave Energy Resources in the Caribbean Sea B. Bethel 10.1007/s11804-021-00231-0
- Influence of sea surface wave-dependent roughness on summer precipitation over the Southeastern United States H. Shan et al. 10.1016/j.dsr2.2022.105209
- Research on optimization method of evaporation duct prediction model based on particle swarm algorithm Y. Cui et al. 10.1088/1742-6596/2718/1/012060
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Short summary
Two-way feedback occurs between offshore wind and waves. Using an extensive data set of offshore measurements, we show that the wave roughness affecting the wind is dependent on the alignment between the wind and wave directions. Moreover, we propose a new roughness parameterization that takes into account the dependence on alignment. Using this in numerical models will facilitate a better representation of offshore wind, which is relevant to wind energy and and climate modeling.
Two-way feedback occurs between offshore wind and waves. Using an extensive data set of offshore...
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