热带气旋 "汗云"(2017 年)增强过程中最大对称旋转动能半径的收缩情况

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
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引用次数: 0

摘要

本研究利用天气研究与预报(WRF)模式模拟了2017年的热带气旋(TC)"汗云"。通过观测验证的模拟数据,研究了非对称旋转流和环境流在决定对称旋转流(Kψs)最大动能半径收缩过程中的作用。非对称旋转流动能(Kψa)向Kψs的转换是由非对称发散径向风对非对称旋转切向风的平流引起的。Kψs 的内向通量的转换和汇聚导致了 RI 前的快速收缩。在 RI 期间,除了 Kψs 的水平和垂直通量汇聚外,通过 Kψs 和对称径向环境流之间的相互作用,环境动能(Ke)向 Kψs 的转换对第二次缓慢收缩也很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contraction of the radius of maximum symmetric rotational kinetic energy during the intensification of Tropical Cyclone Khanun (2017)

Tropical cyclone (TC) Khanun in 2017 was simulated in this study by the Weather Research and Forecasting (WRF) model. The observation-validated simulation data were used to examine how asymmetric rotational and environmental flows played the roles in determining the contraction of the radius of maximum kinetic energy of symmetric rotational flow (Kψs). The radius of maximum Kψs was contracted rapidly before rapid intensification (RI) and moved inward slowly, then barely moved, and moved inward slowly again during RI.

The conversion from kinetic energy of asymmetric rotational flow (Kψa) to Kψs was induced by advection of asymmetric rotational tangential wind by asymmetric divergent radial wind. The conversion and convergence of inward flux of Kψs led to the rapid contraction before RI. During RI, in additional to horizontal and vertical flux convergence of Kψs, the conversion from environmental kinetic energy (Ke) to Kψs through the interaction between Kψs and symmetric radial environmental flow was important for the second slow contraction.

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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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