Investigation of the characteristics of low-level jets over North America in a convection-permitting Weather Research and Forecasting simulation

被引:0
|
作者
Ma, Xiao [1 ]
Li, Yanping [1 ]
Li, Zhenhua [1 ]
Huo, Fei [1 ]
机构
[1] Western Univ, 1151 Richmond St, London, ON N6A 3K7, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
GREAT-PLAINS; SUMMER PRECIPITATION; CLIMATOLOGY; WIND; SEASON; PROJECTION; PEAK;
D O I
10.5194/acp-24-12013-2024
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, we utilized a high-resolution (4 km) convection-permitting Weather Research and Forecasting (WRF) simulation spanning a 13-year period (2000-2013) to investigate the climatological features of low-level jets (LLJs) over North America. The 4 km simulation enabled us to represent the effects of orography and the underlying surface on the boundary layer winds better. Focusing on the continental US and the adjacent border regions of Canada and Mexico, this study not only identified several well-known large-scale LLJs, such as the southerly Great Plains LLJ and the summer northerly California coastal LLJ, but also the winter Quebec northerly LLJ which received less focus before. All these LLJs reach their peak in the nighttime in the diurnal cycle. Thus, the different thermal and dynamic mechanisms forming these three significant LLJs are investigated in this paper. Inertial oscillation theory dominates in the Great Plain LLJ, and the California coastal LLJ is formed by the baroclinic theory, whereas the Quebec LLJ is associated with both theories. Moreover, the high-resolution simulation revealed climatic characteristics of weaker and smaller-scale LLJs or low-level wind maxima in regions with complex terrains, such as the northerly LLJs in the foothill regions of the Rocky Mountains and the Appalachians during the winter. This study provides valuable insights into the climatological features of LLJs in North America, and the high-resolution simulation offers a more detailed understanding of LLJ behavior near complex terrains and other smaller-scale features.
引用
收藏
页码:12013 / 12030
页数:18
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