Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2017JD028169 |
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
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ISSN | 2169-897X |
EISSN | 2169-8996 |
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 | |
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 |
推荐引用方式 GB/T 7714 | 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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