GSTDTAP  > 气候变化
DOI10.1029/2017JD028169
Atmospheric Boundary Layer Classification With Doppler Lidar
Manninen, A. J.1; 39;Connor, E. J.2
2018-08-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2018
卷号123期号:15页码:8172-8189
文章类型Article
语种英语
国家Finland; Germany; England
英文摘要

We present a method using Doppler lidar data for identifying the main sources of turbulent mixing within the atmospheric boundary layer. The method identifies the presence of turbulence and then assigns a turbulent source by combining several lidar quantities: attenuated backscatter coefficient, vertical velocity skewness, dissipation rate of turbulent kinetic energy, and vector wind shear. Both buoyancy-driven and shear-driven situations are identified, and the method operates in both clear-sky and cloud-topped conditions, with some reservations in precipitation. To capture the full seasonal cycle, the classification method was applied to more than 1year of data from two sites, Hyytiala, Finland, and Julich, Germany. Analysis showed seasonal variation in the diurnal cycle at both sites; a clear diurnal cycle was observed in spring, summer, and autumn seasons, but due to their respective latitudes, a weaker cycle in winter at Julich, and almost non-existent at Hyytiala. Additionally, there are significant contributions from sources other than convective mixing, with cloud-driven mixing being observed even within the first 500m above ground. Also evident is the considerable amount of nocturnal mixing within the lowest 500m at both sites, especially during the winter. The presence of a low-level jet was often detected when sources of nocturnal mixing were diagnosed as wind shear. The classification scheme and the climatology extracted from the classification provide insight into the processes responsible for mixing within the atmospheric boundary layer, how variable in space and time these can be, and how they vary with location.


Key Points


领域气候变化
收录类别SCI-E
WOS记录号WOS:000443566900022
WOS关键词LOW-LEVEL JETS ; VELOCITY-VARIANCE ; DISSIPATION RATE ; MIXING HEIGHT ; CLOUD ; WIND ; TURBULENCE ; FINLAND ; TRANSITION ; PARAMETERS
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
被引频次:82[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/33135
专题气候变化
作者单位1.Univ Helsinki, Dept Phys, Helsinki, Finland;
2.Univ Cologne, Inst Geophys & Meteorol, Cologne, Germany;
3.Finnish Meteorol Inst, Helsinki, Finland;
4.Vaisala Oyj, Vantaa, Finland;
5.Univ Reading, Dept Meteorol, Reading, Berks, England
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Manninen, A. J.,39;Connor, E. J.. Atmospheric Boundary Layer Classification With Doppler Lidar[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(15):8172-8189.
APA Manninen, A. J.,&39;Connor, E. J..(2018).Atmospheric Boundary Layer Classification With Doppler Lidar.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(15),8172-8189.
MLA Manninen, A. J.,et al."Atmospheric Boundary Layer Classification With Doppler Lidar".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.15(2018):8172-8189.
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