Assessment of Offshore Wind and Turbulence Prediction for the Northeast US Using a Three‐Dimensional PBL Parameterization in the WRF Model at Gray Zone Resolution

Abstract Offshore wind power plays a vital role in the expanding renewable energy landscape of the Northeast US. Accurate prediction of wind and turbulence is essential for optimizing the efficiency and reliability of offshore wind farms; however, boundary layer flows in the offshore environment can be complex. To address this challenge, our study uses an advanced three‐dimensional planetary boundary‐layer (PBL) scheme within the Weather Research and Forecasting (WRF) model to predict hub‐height wind and turbulent kinetic energy (TKE) for the Northeast US offshore region. We conducted a comprehensive evaluation of sub‐kilometric, gray‐zone mesoscale WRF simulations with measurements of hub‐height wind and TKE, buoyancy and wind shear taken at the Woods Hole Oceanographic Institution's Air‐sea Interaction Tower (ASIT). Our evaluation for different synoptic forcings, clustered based on self‐organizing map analysis, revealed a good agreement between the predicted and observed hub‐height wind speed, while the hub‐height TKE evaluation had mixed performance. TKE was generally overpredicted in stable conditions, especially for strongly forced nodes with predominant southerly flow. In contrast, the model performed well in weakly forced, northerly flow regimes, regardless of stability. The overprediction of TKE under stable conditions was linked to misclassification of atmospheric stability, a known limitation in stable boundary layer parameterizations.

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Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2026-01-13
DOI
https://doi.org/10.1029/2025jd044765
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
104.69

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article

Assessment of Offshore Wind and Turbulence Prediction for the Northeast US Using a Three‐Dimensional PBL Parameterization in the WRF Model at Gray Zone Resolution

Tasnim Zaman, Marina Astitha, Branko Kosović, T. W. Juliano
1 citations
Journal of Geophysical Research Atmospheres
Wind Energy Research and Development
104.69
article

Assessment of Offshore Wind and Turbulence Prediction for the Northeast US Using a Three‐Dimensional PBL Parameterization in the WRF Model at Gray Zone Resolution

Tasnim Zaman, Marina Astitha, Branko Kosović, T. W. Juliano
article en
1 citations

Abstract

Abstract Offshore wind power plays a vital role in the expanding renewable energy landscape of the Northeast US. Accurate prediction of wind and turbulence is essential for optimizing the efficiency and reliability of offshore wind farms; however, boundary layer flows in the offshore environment can be complex. To address this challenge, our study uses an advanced three‐dimensional planetary boundary‐layer (PBL) scheme within the Weather Research and Forecasting (WRF) model to predict hub‐height wind and turbulent kinetic energy (TKE) for the Northeast US offshore region. We conducted a comprehensive evaluation of sub‐kilometric, gray‐zone mesoscale WRF simulations with measurements of hub‐height wind and TKE, buoyancy and wind shear taken at the Woods Hole Oceanographic Institution's Air‐sea Interaction Tower (ASIT). Our evaluation for different synoptic forcings, clustered based on self‐organizing map analysis, revealed a good agreement between the predicted and observed hub‐height wind speed, while the hub‐height TKE evaluation had mixed performance. TKE was generally overpredicted in stable conditions, especially for strongly forced nodes with predominant southerly flow. In contrast, the model performed well in weakly forced, northerly flow regimes, regardless of stability. The overprediction of TKE under stable conditions was linked to misclassification of atmospheric stability, a known limitation in stable boundary layer parameterizations.

Journal of Geophysical Research AtmospheresVol. 131(2)
NSF National Center for Atmospheric Research (US), University of Connecticut (US), Johns Hopkins University (US)
National Science Foundation, U.S. Department of Energy, Office of Electricity
Affordable and clean energy
Openalex Percentile: Top 1%
Wind Energy Research and Development
104.69
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