Wind gusts are calculated in a collection of simulated atmospheric flows in complex terrain. This study focuses on a region in West-Iceland during February to April 2007 which includes several windstorms. The atmospheric data is a subset in a large collection of realtime numerical simulations used for forecasting in Iceland. It is generated at horizontal resolutions of 9 and 3 km, and in two sensitivity tests at 1 km. The gust prediction method is based on turbulence kinetic energy, static stability and wind speed in the atmospheric boundary layer. The gust prediction method is implemented as post-processing. The calculated gust strength is compared with wind gust observations from several automatic weather stations. The estimated gusts are strongly dependent on the quality of the simulated flow and are on average well captured when the mean winds are correctly simulated. Maximum gusts in downslope windstorms are however frequently underestimated. The error is presumably related to an inadequate simulation of the downslope surface winds which are also too weak. The windstorms in the current study appear to be related to gravity wave activity aloft and are better reproduced at higher resolutions than at coarse resolution. There are cases of overestimated gusts on the upstream side of mountains, which may be related to an inadequate simulation of the upstream deceleration of the flow and overestimated surface winds. Gustiness in mountain wakes is frequently too great, which appears to be related to overestimated turbulence in the wakes.
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Test Station for Wind Turbines, Riso National Lab, PO Box 49, Roskilde DK-4000, DenmarkTest Station for Wind Turbines, Riso National Lab, PO Box 49, Roskilde DK-4000, Denmark
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Department of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
National Water and Energy Center, United Arab Emirates University, P.O. Box 15551, Al Ain
Department of Mechanical Power Engineering and Energy, Faculty of Engineering, Minia University, MiniaDepartment of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
Elgendi M.
AlMallahi M.
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Department of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al AinDepartment of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
AlMallahi M.
Abdelkhalig A.
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Department of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
Aeronautical Engineering Department, College of Engineering, Sudan University of Science and Technology, KhartoumDepartment of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
Abdelkhalig A.
Selim M.Y.E.
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Department of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
National Water and Energy Center, United Arab Emirates University, P.O. Box 15551, Al Ain
Mech. Power Eng. Dept., Faculty of Eng. at Mattaria, Helwan University, CairoDepartment of Mechanical and Aerospace Engineering, College of Engineering, United Arab Emirates University, Al Ain
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GS Energy, Algorithm Lab, Seoul 06141, South KoreaGS Windpower, Digital Transformat DX Dept, Seoul 06141, South Korea
Park, Bongjoon
Kim, Jeongwon
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Yonsei Univ, Dept Atmospher Sci, Ecosyst Atmosphere Proc Lab, Seoul 03722, South KoreaGS Windpower, Digital Transformat DX Dept, Seoul 06141, South Korea
Kim, Jeongwon
Hong, Jinkyu
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Yonsei Univ, Dept Atmospher Sci, Ecosyst Atmosphere Proc Lab, Seoul 03722, South KoreaGS Windpower, Digital Transformat DX Dept, Seoul 06141, South Korea