The impact of the representation of in-cloud mixing effect in the planetary boundary layer scheme on the simulated track of tropical cyclone Infa (2021)

IF 4.4 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Qijun Huang , Xu Zhang , Xuesong Zhu , Yijie Zhu , Yilin Yang
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引用次数: 0

Abstract

The impact of the planetary boundary layer (PBL) scheme on the simulated track of TC InFa (2021) is explored in this study. The TC track and intensity are accurately captured in the experiment with the eddy-diffusivity mass-flux (EDMF) PBL scheme. Conversely, the TC exhibits a noticeably slower translation speed and deviates significantly from the observed track in the experiment using the Yonsei University (YSU) PBL scheme. The potential vorticity tendency (PVT) budget analysis reveals that the diabatic heating related to the asymmetric convection within the TC inner-core has a negative impact on the translation speed of TC. The in-cloud mixing effect in the YSU scheme is conducive to transporting the moisture from the boundary layer to the upper levels, promoting the development of asymmetric deep convection and the enhancing diabatic heating. This study presents a new perspective, suggesting that the representation of in-cloud mixing in the PBL scheme plays an important role on affecting the TC movement.
行星边界层方案中云内混合效应表征对热带气旋Infa(2021)模拟路径的影响
本研究探讨了行星边界层(PBL)方案对TC InFa(2021)模拟轨道的影响。实验中采用涡流扩散质量通量(EDMF) PBL格式准确地捕获了TC轨迹和强度。相反,在使用延世大学(YSU) PBL方案的实验中,TC表现出明显较慢的翻译速度,并且明显偏离观察轨迹。位涡趋势(PVT)收支分析表明,与TC内核内非对称对流有关的绝热加热对TC的平动速度有负向影响。YSU方案的云内混合效应有利于水汽从边界层向上层输送,促进非对称深层对流的发展,增强非绝热加热。本研究提供了一个新的视角,表明PBL方案中云内混合的表征对TC运动的影响起着重要作用。
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
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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