Articles | Volume 6, issue 4
https://doi.org/10.5194/wes-6-1015-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-1015-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2021
Research article |
| 28 Jul 2021
| 28 Jul 2021
WRF-simulated low-level jets over Iowa: characterization and sensitivity studies
Jeanie A. Aird
CORRESPONDING AUTHOR
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Rebecca J. Barthelmie
Sibley School of Mechanical and Aerospace Engineering, Cornell
University, Ithaca, New York, USA
Tristan J. Shepherd
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
Sara C. Pryor
Department of Earth and Atmospheric Sciences, Cornell University,
Ithaca, New York, USA
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Cited
18 citations as recorded by crossref.
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al.
- Aeroelastic model of flexible blades of wind turbines under complex wind speed profiles P. He & J. Xia
- Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms K. Klemmer et al.
- Impact of Negative Geostrophic Wind Shear on Wind Farm Performance A. Stieren et al.
- Low-level jet modeling investigation in the metropolitan region of São Paulo, Brazil M. Sánchez et al.
- Occurrence of Low-Level Jets over the Eastern U.S. Coastal Zone at Heights Relevant to Wind Energy J. Aird et al.
- Hungarian Drone-Based Wind Measurements During the WMO UAS Demonstration Campaign—A Low-Level Jet Case Study Á. Steierlein et al.
- Brief communication: On the definition of the low-level jet C. Hallgren et al.
- Evaluation of the Performance of the WRF Model in a Hyper-Arid Environment: A Sensitivity Study R. Abida et al.
- Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data C. Hallgren et al.
- Quantitative comparison of power production and power quality onshore and offshore: a case study from the eastern United States R. Foody et al.
- Low-level jets in the North and Baltic seas: mesoscale model sensitivity and climatology using WRF V4.2.1 B. Olsen et al.
- Modeling frontal low-level jets and associated extreme wind power ramps over the North Sea H. Baki et al.
- Classification and properties of non-idealized coastal wind profiles – an observational study C. Hallgren et al.
- Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) A. Vemuri et al.
- Spatiotemporal observations of nocturnal low-level jets and impacts on wind power production E. Weide Luiz & S. Fiedler
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al.
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services T. Xu et al.
18 citations as recorded by crossref.
- Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al.
- Aeroelastic model of flexible blades of wind turbines under complex wind speed profiles P. He & J. Xia
- Evaluation of wind resource uncertainty on energy production estimates for offshore wind farms K. Klemmer et al.
- Impact of Negative Geostrophic Wind Shear on Wind Farm Performance A. Stieren et al.
- Low-level jet modeling investigation in the metropolitan region of São Paulo, Brazil M. Sánchez et al.
- Occurrence of Low-Level Jets over the Eastern U.S. Coastal Zone at Heights Relevant to Wind Energy J. Aird et al.
- Hungarian Drone-Based Wind Measurements During the WMO UAS Demonstration Campaign—A Low-Level Jet Case Study Á. Steierlein et al.
- Brief communication: On the definition of the low-level jet C. Hallgren et al.
- Evaluation of the Performance of the WRF Model in a Hyper-Arid Environment: A Sensitivity Study R. Abida et al.
- Machine learning methods to improve spatial predictions of coastal wind speed profiles and low-level jets using single-level ERA5 data C. Hallgren et al.
- Quantitative comparison of power production and power quality onshore and offshore: a case study from the eastern United States R. Foody et al.
- Low-level jets in the North and Baltic seas: mesoscale model sensitivity and climatology using WRF V4.2.1 B. Olsen et al.
- Modeling frontal low-level jets and associated extreme wind power ramps over the North Sea H. Baki et al.
- Classification and properties of non-idealized coastal wind profiles – an observational study C. Hallgren et al.
- Sensitivity analysis of mesoscale simulations to physics parameterizations over the Belgian North Sea using Weather Research and Forecasting – Advanced Research WRF (WRF-ARW) A. Vemuri et al.
- Spatiotemporal observations of nocturnal low-level jets and impacts on wind power production E. Weide Luiz & S. Fiedler
- Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al.
- Application of low-altitude wind shear recognition algorithm and laser wind radar in aviation meteorological services T. Xu et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
Low-level jets (LLJs) are pronounced maxima in wind speed profiles affecting wind turbine performance and longevity. We present a climatology of LLJs over Iowa using output from the Weather Research and Forecasting (WRF) model and determine the rotor plane conditions when they occur. LLJ characteristics are highly sensitive to the identification criteria applied, and different (unique) LLJs are extracted with each criterion. LLJ characteristics also vary with different model output resolution.
Low-level jets (LLJs) are pronounced maxima in wind speed profiles affecting wind turbine...
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