气候变化领域集成服务门户(CCPortal): Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms

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DOI	10.1007/s00382-019-04725-0
	Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms
	Xia G.; Zhou L.; Minder J.R.; Fovell R.G.; Jimenez P.A.
发表日期	2019
ISSN	0930-7575
起始页码	1723
结束页码	1739
卷号	53 期号:2020-03-04
英文摘要	A recent study shows that the current wind turbine parameterization in the weather research and forecasting (WRF) model can generally reproduce the satellite observed nighttime warming signal over wind farm (WF) regions over west central Texas, but also tends to produce a cooling effect in the WF downwind regions. The present study conducts a series of WRF simulations to further this research by addressing two fundamental questions: (i) what is the 3-D structure of simulated near-surface temperatures within and around WFs? (ii) what are the main physical mechanisms responsible for the simulated WF-induced temperature changes? Our results indicate that the WF-induced temperature changes are not only restricted to the surface but also can extend vertically to the hub-height level and horizontally in the downwind direction. The WF-induced change in sensible heat flux is the dominant factor for the simulated temperature changes at the surface, for both the warming signals over the WF region and the cooling signals behind it. Further diagnosis shows that the turbulent component of the wind turbine parameterization is responsible for the surface warming signal by enhancing vertical mixing while the momentum sink component is responsible for the surface cooling signal by enhancing near-surface thermal stratification. By analyzing the energy budget, we find two important physical processes that are critical to explain the simulated WF impacts on temperature: (i) vertical divergence of heat flux as parameterized in the planetary boundary layer scheme and (ii) resolved-scale 3-D temperature advection. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
语种	英语
scopus关键词	computer simulation; land surface; numerical model; prediction; surface temperature; weather forecasting; wind farm; wind turbine
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146131
作者单位	Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY 12222, United States; Research Applications Laboratory, NCAR, Boulder, CO, United States
推荐引用方式 GB/T 7714	Xia G.,Zhou L.,Minder J.R.,et al. Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms[J],2019,53(2020-03-04).
APA	Xia G.,Zhou L.,Minder J.R.,Fovell R.G.,&Jimenez P.A..(2019).Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms.Climate Dynamics,53(2020-03-04).
MLA	Xia G.,et al."Simulating impacts of real-world wind farms on land surface temperature using the WRF model: physical mechanisms".Climate Dynamics 53.2020-03-04(2019).