DOI: 10.1002/2017JD027504
Scopus记录号: 2-s2.0-85043504096
论文题名: Evaluating Mesoscale Simulations of the Coastal Flow Using Lidar Measurements
作者: Floors R. ; Hahmann A.N. ; Peña A.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 5 起始页码: 2718
结束页码: 2736
语种: 英语
英文关键词: boundary layer winds
; coastal zone
; wind energy resources
; wind lidars
; WRF model
Scopus关键词: airflow
; atmospheric modeling
; atmospheric motion
; boundary condition
; boundary layer
; coastal zone
; energy resource
; land use change
; lidar
; measurement method
; simulation
; wavelength
; wind power
; wind profile
; wind velocity
英文摘要: The atmospheric flow in the coastal zone is investigated using lidar and mast measurements and model simulations. Novel dual-Doppler scanning lidars were used to investigate the flow over a 7 km transect across the coast, and vertically profiling lidars were used to study the vertical wind profile at offshore and onshore positions. The Weather, Research and Forecasting model is set up in 12 different configurations using 2 planetary boundary layer schemes, 3 horizontal grid spacings and varied sources of land use, and initial and lower boundary conditions. All model simulations describe the observed mean wind profile well at different onshore and offshore locations from the surface up to 500 m. The simulated mean horizontal wind speed gradient across the shoreline is close to that observed, although all simulations show wind speeds that are slightly higher than those observed. Inland at the lowest observed height, the model has the largest deviations compared to the observations. Taylor diagrams show that using ERA-Interim data as boundary conditions improves the model skill scores. Simulations with 0.5 and 1 km horizontal grid spacing show poorer model performance compared to those with a 2 km spacing, partially because smaller resolved wave lengths degrade standard error metrics. Modeled and observed velocity spectra were compared and showed that simulations with the finest horizontal grid spacing resolved more high-frequency atmospheric motion. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114275
Appears in Collections: 气候减缓与适应
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作者单位: DTU Wind Energy, Technical University of Denmark, Roskilde, Denmark
Recommended Citation:
Floors R.,Hahmann A.N.,Peña A.. Evaluating Mesoscale Simulations of the Coastal Flow Using Lidar Measurements[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(5)