热带气旋下切变改造的相关因素

IF 2.8 3区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Monthly Weather Review Pub Date : 2023-08-11 DOI:10.1175/mwr-d-22-0251.1
Nathalie G. Rivera-Torres, Kristen Corbosiero, B. Tang
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引用次数: 0

摘要

探讨了1998年至2020年北大西洋盆地热带气旋经历下切变改造的相关条件。将这些风暴与强度、垂直风切变和最大潜在强度相似的模拟热带气旋进行了比较,但没有发生下降改造。使用ERA5再分析和GridSat-B1数据生成了以风暴为中心的剪切相对复合物。下切变改造主要发生在中等垂直风切变中的热带风暴强度的热带气旋。复合物之间的比较表明,改造后的风暴具有更大的低层和中层相对湿度下降趋势,更大的表面潜热通量下降趋势和剪切左侧,以及更大的低空等效潜在温度和剪切右侧的CAPE。这些因素增加了热力学的有利性,建立了势能库,减少了干空气夹带,促进了持续的对流下降,并有利于新中心的发展。
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Factors Associated with the Downshear Reformation of Tropical Cyclones
The conditions associated with tropical cyclones undergoing downshear reformation are explored for the North Atlantic basin from 1998 to 2020. These storms were compared to analog tropical cyclones with similar intensity, vertical wind shear, and maximum potential intensity, but did not undergo downshear reformation. Storm-centered, shear-relative composites were generated using ERA5 reanalysis and GridSat-B1 data. Downshear reformation predominately occurs for tropical cyclones of tropical storm intensity embedded in moderate vertical wind shear. A comparison between composites suggests that reformed storms are characterized by greater low-level and mid-tropospheric relative humidity downshear, larger surface latent heat fluxes downshear and left of shear, and larger low-level equivalent potential temperatures and CAPE right of shear. These factors increase thermodynamic favorability, building a reservoir of potential energy and decreasing dry air entrainment, promoting sustained convection downshear, and favoring the development of a new center.
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来源期刊
Monthly Weather Review
Monthly Weather Review 地学-气象与大气科学
CiteScore
6.40
自引率
12.50%
发文量
186
审稿时长
3-6 weeks
期刊介绍: Monthly Weather Review (MWR) (ISSN: 0027-0644; eISSN: 1520-0493) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This research includes numerical and data assimilation techniques that apply to the atmosphere and/or ocean environments. MWR also addresses phenomena having seasonal and subseasonal time scales.
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