Surface Mesovortices Formation and Maintenance in the St. Louis Metropolitan Area

IF 2.5 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Sen Chiao, Robert Pasken
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引用次数: 0

Abstract

This study investigates the formation of reoccurring surface mesovortices within the Saint Louis Metropolitan Area. Prior research has shown the presence of surface mesovortices downwind from urban areas; however, the time evolution of the three-dimensional (3D) structure of these mesovortices is not well documented. Two instances of surface vortices associated with the urban heat island and affected by the terrain are investigated using the Weather Research Forecasting (WRF) model. The surface mesonet data over the Saint Louis Metropolitan area were assimilated with the WRF model to investigate the structure of these mesovortices. High-resolution simulations (i.e., 333-m grid spacing) were conducted when mesovortices were observed. Model results were then evaluated to determine the full 3D structure of the vortices and the formation of such surface vortices. The WRF simulations were able to recapture the observed surface structure of the vortices. The simulation results suggest that the interaction between the Saint Louis urban heat island (UHI), the Mississippi River, and topographic effects moderates the low-level wind field, creating the surface mesovortices.

Abstract Image

圣路易斯大都市区地表中涡旋的形成和维持
本研究探讨了在圣路易斯大都会区反复出现的地表中涡旋的形成。先前的研究表明,在城市地区顺风处存在地面中涡旋;然而,这些中涡旋的三维(3D)结构的时间演变并没有很好的记录。本文利用天气研究预报(WRF)模式研究了两个与城市热岛相关并受地形影响的地表涡旋。利用WRF模式对圣路易斯市区地面中尺度资料进行同化,研究了这些中涡旋的结构。在观测中涡旋时进行了高分辨率模拟(即333 m网格间距)。然后对模型结果进行评估,以确定涡的完整三维结构和这种表面涡的形成。WRF模拟能够重现观测到的涡旋表面结构。模拟结果表明,圣路易斯城市热岛(UHI)、密西西比河和地形效应的相互作用缓和了低层风场,形成了地面中涡旋。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Meteorological Applications
Meteorological Applications 地学-气象与大气科学
CiteScore
5.70
自引率
3.70%
发文量
62
审稿时长
>12 weeks
期刊介绍: The aim of Meteorological Applications is to serve the needs of applied meteorologists, forecasters and users of meteorological services by publishing papers on all aspects of meteorological science, including: applications of meteorological, climatological, analytical and forecasting data, and their socio-economic benefits; forecasting, warning and service delivery techniques and methods; weather hazards, their analysis and prediction; performance, verification and value of numerical models and forecasting services; practical applications of ocean and climate models; education and training.
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