Sensitivity of Turbine-Height Wind Speeds to Parameters in Planetary Boundary-Layer and Surface-Layer Schemes in the Weather Research and Forecasting Model
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- 作者：Ben Yang ; Yun Qian ; Larry K. Berg ; Po-Lun Ma ; Sonia Wharton…
- 关键词：Parametrization schemes ; Parametric sensitivity ; Planetary boundary layer ; Surface layer ; Turbine ; height wind speed ; Weather Research and Forecasting model
- 刊名：Boundary-Layer Meteorology
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：162
- 期：1
- 页码：117-142
- 全文大小：
- 刊物类别：Earth and Environmental Science
- 刊物主题：Atmospheric Sciences; Meteorology; Atmospheric Protection/Air Quality Control/Air Pollution;
- 出版者：Springer Netherlands
- ISSN：1573-1472
- 卷排序：162
文摘
We evaluate the sensitivity of simulated turbine-height wind speeds to 26 parameters within the Mellor–Yamada–Nakanishi–Niino (MYNN) planetary boundary-layer scheme and MM5 surface-layer scheme of the Weather Research and Forecasting model over an area of complex terrain. An efficient sampling algorithm and generalized linear model are used to explore the multiple-dimensional parameter space and quantify the parametric sensitivity of simulated turbine-height wind speeds. The results indicate that most of the variability in the ensemble simulations is due to parameters related to the dissipation of turbulent kinetic energy (TKE), Prandtl number, turbulent length scales, surface roughness, and the von Kármán constant. The parameter associated with the TKE dissipation rate is found to be most important, and a larger dissipation rate produces larger hub-height wind speeds. A larger Prandtl number results in smaller nighttime wind speeds. Increasing surface roughness reduces the frequencies of both extremely weak and strong airflows, implying a reduction in the variability of wind speed. All of the above parameters significantly affect the vertical profiles of wind speed and the magnitude of wind shear. The relative contributions of individual parameters are found to be dependent on both the terrain slope and atmospheric stability.